Data Science Real-World Use Cases - Hands On Python
Posted by Superadmin on September 09 2021 05:08:12

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0101. Introduction to this course & Course Benefits



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0102. Installation of Anaconda Navigator.html



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0103. Quick Summary of Jupyter Notebook



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0104. How to follow this course-Must Watch



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0201. What is Data Science



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0202. Life-cycle of data science project



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0301. Datasets & Resources.html



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0302. Understand your data



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0303. Perform Data Cleaning on your data



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0304. Analysing your categories of Restaurants



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0305. Perform Restaurant Overview Analysis



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0306. Perform In-Depth Analysis of Restaurant



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0307. Analysing Best budget Restaurants



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0308. Perform Geographical analysis on data..



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0309. Analysing Customer Behaviour using WordCloud



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0310. Analysing Reviews of Restaurant...



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0311. What is Imbalance Data & how to handle it



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0312. How to Prepare your data for Machine Learning



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0313. Perform Feature Importance on data



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0314. How to came across with your missing values in data.



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0315. Perform Feature encoding on your data.



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0316. Apply Feature Encoding & Prepare your data for Modelling



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0317. Intuition Behind Random Forest Part-1



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0318. Intuition Behind Random Forest Part-2



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0319. Apply Random Forest algorithm on data.



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0320. Intuition behind Logistic Regression --part 1



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0321. Intuition behind Logistic Regression --part 2



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0322. Intuition Behind Naive Bayes-Part 1



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0323. How Naive Bayes works with Text Data..



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0324. Intuition Behind Decision Tree- Part 1



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0325. Intuition Behind Decision Tree- Part 2



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0326. Intuition Behind Decision Tree- Part 3



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0327. Intuition Behind Decision Tree- Part 4



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0328. Intuition Behind Decision Tree- Part 5



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0329. Intuition Behind Decision Tree- Part 6



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0401. Datasets & Resources.html



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0402. Understand your data



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0403. How to Perform Stemming on your data



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0404. Intuition behind Bag of Words



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0405. Applying Bag of words on data..



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0406. Apply Naive Bayes on data..



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0407. Analyse your data & Playing with More algorithms



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0501. Datasets & Resources.html



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0502. Perform Data Cleaning on Time Series Data..



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0503. Checking Stationary Trend in Data



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0904. How to make your Data Stationary



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0505. Intuition behind ARIMA --part 1



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0506. Intuition behind MA model --ARIMA part 2



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0507. Intuition behind AR model -- ARIMA part 3



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0508. Intuition behind Integrating -- ARIMA part 4



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0509. Apply ARIMA Algorithm on data.



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0510. Applying SARIMAX Algorithm on data



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents

Data Science Real-World Use Cases - Hands On Python

with Shan Singh


0511. Doing Predictions on Future date.



Description

What you'll learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product

Requirements

Basic knowledge of Python programming is recommended.

Description

Are you looking to land a top-paying job in Data Science?

Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..

Why should you take this Course?


It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion


Who this course is for:

One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

  

Course Contents