Data Science & Deep Learning for Business - 20 Case Studies 2019-11
Posted by Superadmin on October 01 2021 06:16:31

Data Science & Deep Learning for Business - 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

01001 Introduction - Why do this course Why Apply Data Science to Business

Description

Data Science & Deep Learning for Business ™ 20 Case Studies is a data science and in-depth learning course for businesses with 20 case studies that you use Python to cover issues in retail, marketing, product recommendation, category You will solve customer classification, natural language processing, forecasting and more.

What you will learn in Data Science & Deep Learning for Business ™ 20 Case Studies:

Understand the value of data for business
Solve common business issues in marketing, sales, customer classification, banking, real estate, insurance, travel and more
Learn Python, Pandas, Matplotlib & Seaborn, SkLearn, Keras, Tensorflow, NLTK, Prophet, PySpark, MLLib and more
Machine learning including linear regression, K-NNs, Logistic Regressions, SVMs, Decision Trees and Random Forests
Unsupervised machine learning including K-Means, Mean-Shift, DBSCAN, EM with GMMs, PCA and t-SNE
Build a product suggestion tool
Hypothesis evaluation and A / B testing, understanding of t-tests and p values
Natural Language Processing
Use Google Colab's iPython notebooks
Develop your machine learning models on the cloud using AWS
Pandas advanced techniques from Vectorizing to parallel processing
Theoretical discussion of statistics, probabilities, distribution and analysis of exploratory data
Big Data Skills Using PySpark to manipulate data and analyze data
Apply data science to marketing to improve conversion rates.

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

01002 Why Data is the new Oil and what most Businesses are doing wrong

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

01003 Defining Business Problems for Analytic Thinking & Data Driven Decision Making

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

01004 Analytic Mindset.html

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

01005 10 Data Science Projects every Business should do!

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

01006 Making Sense of Buzz Words, Data Science, Big Data, Machine & Deep Learning

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

01007 How Deep Learning is Changing Everything!

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

01008 The Roles in the Data World - Analyst, Engineer, Scientist, Statistician, DevOps

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

01009 How Data Scientists Approach Problems

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

02010 Course Approach - Different Options for Different Students

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

02011 Setup Google Colab for your iPython Notebooks

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

02011.1 Course Slides - Data Science for Business.pdf

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

02011.2 Data Science and Deep Learning for Business-20191204.zip

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

03012 Why use Python for Data Science

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

03013 Python - Basic Variables

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

03014 Python - Variables (Lists and Dictionaries)

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

03015 Python - Conditional Statements

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

03016 Python - Loops

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

03017 Python - Functions

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

03018 Python - Classes

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

04019 Introduction to Pandas

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

04020 Pandas 1 - Data Series

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

04021 Pandas 2A - DataFrames - Index, Slice, Stats, Finding Empty cells & Filtering

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

04022 Pandas 2B - DataFrames - Index, Slice, Stats, Finding Empty cells & Filtering<

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

04023 Pandas 3A - Data Cleaning - Alter ColomnsRows, Missing Data & String Operations

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

04024 Pandas 3B - Data Cleaning - Alter ColomnsRows, Missing Data & String Operations

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

04025 Pandas 4 - Data Aggregation - GroupBy, Map, Pivot, Aggreate Functions

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

04026 Pandas 5 - Feature Engineer, Lambda and Apply

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

04027 Pandas 6 - Concatenating, Merging and Joinining

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

04028 Pandas 7 - Time Series Data

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

04029 Pandas 7 - ADVANCED Operations - Iterows, Vectorization and Numpy

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

04030 Pandas 8 - ADVANCED Operations - More Map, Zip and Apply

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

04031 Pandas 9 - ADVANCED Operations - Parallel Processing

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

04032 Map Visualizations with Plotly - Cloropeths from Scratch - USA and World

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

04033 Map Visualizations with Plotly - Heatmaps, Scatter Plots and Lines

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

05034 Introdution to Statistics

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

05035 Descriptive Statistics - Why Statistical Knowledge is so Important

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

05036 Descriptive Statistics 1 - Exploratory Data Analysis (EDA) & Visualizations

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

05037 Descriptive Statistics 2 - Exploratory Data Analysis (EDA) & Visualizations

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

05038 Sampling, Averages & Variance And How to lie and Mislead with Statistics

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

05039 Sampling - Sample Sizes & Confidence Intervals - What Can You Trust

Course Contents

05034 Introdution to Statistics

05035 Descriptive Statistics - Why Statistical Knowledge is so Important

05036 Descriptive Statistics 1 - Exploratory Data Analysis (EDA) & Visualizations

05037 Descriptive Statistics 2 - Exploratory Data Analysis (EDA) & Visualizations

05038 Sampling, Averages & Variance And How to lie and Mislead with Statistics

05039 Sampling - Sample Sizes & Confidence Intervals - What Can You Trust
05040 Types of Variables - Quantitive and Qualitative
05041 Frequency Distributions
05042 Frequency Distributions Shapes
05043 Analyzing Frequency Distributions - What is the Best Type of WIne Red or White
05044 Mean, Mode and Median - Not as Simple As You'd Think
05045 Variance, Standard Deviation and Bessel’s Correction
05046 Covariance & Correlation - Do Amazon & Google know you better than anyone else
05047 Lying with Correlations – Divorce Rates in Maine caused by Margarine Consumption
05048 The Normal Distribution & the Central Limit Theorem
05049 Z-Scores

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

05040 Types of Variables - Quantitive and Qualitative

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

05041 Frequency Distributions

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

05042 Frequency Distributions Shapes

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

05043 Analyzing Frequency Distributions - What is the Best Type of WIne Red or White

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

05044 Mean, Mode and Median - Not as Simple As You'd Think

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

05045 Variance, Standard Deviation and Bessel’s Correction

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

05046 Covariance & Correlation - Do Amazon & Google know you better than anyone else

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

05047 Lying with Correlations – Divorce Rates in Maine caused by Margarine Consumption

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

05048 The Normal Distribution & the Central Limit Theorem

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

05049 Z-Scores

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

06050 Probability – An Introduction

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

06051 Estimating Probability

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

06052 Addition Rule

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

06053 Permutations & Combinations

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

06054 Bayes Theorem

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

07055 Hypothesis Testing Introduction

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

07056 Statistical Significance

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

07057 Hypothesis Testing – P Value

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

07058 Hypothesis Testing – Pearson Correlation

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

08059 Introduction to Machine Learning

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

08060 How Machine Learning enables Computers to Learn

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

08061 What is a Machine Learning Model

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

08062 Types of Machine Learning

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

08063 Linear Regression – Introduction to Cost Functions and Gradient Descent

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

08064 Linear Regressions in Python from Scratch and using Sklearn

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

08065 Polynomial and Multivariate Linear Regression

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

08066 Logistic Regression

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

08067 Support Vector Machines (SVMs)

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

08068 Assessing Performance – Confusion Matrix, Precision and Recall

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

08069 Understanding the ROC and AUC Curve

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

08070 Decision Trees and Random Forests & the Gini Index

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

08071 K-Nearest Neighbors (KNN)

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

08072 What Makes a Good Model Regularization, Overfitting, Generalization & Outliers

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

08073 Introduction to Neural Networks

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

08074 Types of Deep Learning Algoritms CNNs, RNNs & LSTMs

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

09075 Neural Networks Chapter Overview

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

09076 Machine Learning Overview

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

09077 Neural Networks Explained

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

09078 Forward Propagation

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

09079 Activation Functions

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

09080 Training Part 1 – Loss Functions

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

09081 Training Part 2 – Backpropagation and Gradient Descent

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

09082 Backpropagation & Learning Rates – A Worked Example

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

09083 Regularization, Overfitting, Generalization and Test Datasets

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

09084 Epochs, Iterations and Batch Sizes

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

09085 Measuring Performance and the Confusion Matrix

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

09086 Review and Best Practices

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

10087 Understanding the Problem + Exploratory Data Analysis & Visualizations

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

10088 Data Cleaning and Preparation

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

10089 Machine Learning Modeling + Deep Learning

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

11090 Understanding the Problem

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

111091 Exploratory Data Analysis & Visualizations

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

11092 Data Preprocessing

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

11093 Machine Learning Modeling + Deep Learning

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

12094 Understanding the Problem

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

12095 Exploratory Data Analysis and Visualizations

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

12096 Preparing our Dataset for Machine Learning

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

12097 Modeling using Grid Search for finding the best parameters

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

13098 Understanding the Problem + Exploratory Data Analysis and Visualizations

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

13099 Data Preparation and Machine Learning Modeling

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

14100 Understanding the Problem + Exploratory Data Analysis and Visualizations

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

14101 Machine Learning Modeling

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

14102 Using our Model for Value Estimation for New Clients

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

15103 Problem and Plan of Attack.html

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

15103.1 creditcard.zip

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

17105 Understanding the Problem + Exploratory Data Analysis and Visualizations

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

17106 Data Preparation and Machine Learning Modeling

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

18107 Understanding the Problem + Exploratory Data Analysis and Visualizations

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

18108 AB Test Result Analysis

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

18109 AB Testing a Worked Real Life Example - Designing an AB Test

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

18110 Statistical Power and Significance

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

18111 Analysis of AB Test Resutls

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

19112 Problem and Plan of Attack

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

19113 Sales and Revenue Analysis

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

19114 Analysis per Country, Repeat Customers and Items

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

20115 Understanding the Problem + Exploratory Data Analysis and Visualizations

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

20116 Customer Lifetime Value Modeling

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

21117 Introdution to Unsupervised Learning

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

21118 K-Means Clustering

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

21119 Choosing K – Elbow Method & Silhouette Analysis

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

21120 K-Means in Python - Choosing K using the Elbow Method & Silhoutte Analysis

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

21121 Agglomerative Hierarchical Clustering

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

21122 Mean-Shift Clustering

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

21123 DBSCAN (Density-Based Spatial Clustering of Applications with Noise)

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

21124 DBSCAN in Python

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

21125 Expectation–Maximization (EM) Clustering using Gaussian Mixture Models (GMM)

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

22126 Principal Component Analysis

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

22127 t-Distributed Stochastic Neighbor Embedding (t-SNE)

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

22128 PCA & t-SNE in Python with Visualization Comparisons

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

23129 Data Exploration & Description

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

23130 Simple Exploratory Data Analysis and Visualizations

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

23131 Feature Engineering

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

23132 K-Means Clustering of Customer Data

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

23133 Cluster Analysis

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

24134 Introduction to Recommendation Engines

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

24135 Before recommending, how do we rate or review Items Thought Experiment

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

24136 User Collaborative Filtering and ItemContent-based Filtering

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

24137 The Netflix Prize, Matrix Factorization & Deep Learning as Latent-Factor Methods

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

25138 Dataset Description and Data Cleaning

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

25139 Making a Customer-Item Matrix

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

25140 User-User Matrix - Getting Recommended Items for each Customer

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

25141 Item-Item Collaborative Filtering - Finding the Most Similar Items

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

26142 Plan and Approach.html

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

27143 Introduction to Natural Language Processing

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

27144 Modeling Language – The Bag of Words Model

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

27145 Normalization, Stop Word Removal, LemmatizingStemming

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

27146 TF-IDF Vectorizer (Term Frequency — Inverse Document Frequency)

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>27147 Word2Vec - Efficient Estimation of Word Representations in Vector Space

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>28148 Problem and Plan of Attack.html

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>29149 Problem and Plan of Attack.html

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>30150 Problem and Plan of Attack.html

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>31151 Problem and Plan of Attack.html

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>33153 Using PySpark for Headline Classification.html

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>34154 Install and Run Flask.html

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>34154.1 CVApiWebAPp.tar.gz

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>34155 Running Your Computer Vision Web App on Flask Locally.html

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>34156 Running Your Computer Vision API.html

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>34157 Setting Up An AWS Account.html

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>34158 Setting Up Your AWS EC2 Instance & Installing Keras, TensorFlow, OpenCV & Flask.html

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>34159 Changing your EC2 Security Group.html

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>34160 Using FileZilla to transfer files to your EC2 Instance.html

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>34161 Running your CV Web App on EC2.html

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>34162 Running your CV API on EC2.html

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>35163 Customer Lifetime Value Modeling using lifetimes.html

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>35163.1 Customer Lifetime Values.pdf

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>35163.2 Customer_Life_Time_Value_Modeling_with_lifetimes_Case_Study_21.zip

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>36164 Price Optimization of Airline Tickets.html

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>36164.1 Price_Optimization_Airline_Ticket_Price_Optimization_using_Linear_Programming_.zip

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>37165 Convolutional Neural Networks Chapter Overview

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>37166 Convolutional Neural Networks Introduction

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>37167 Convolutions & Image Features

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>37168 Depth, Stride and Padding

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>37169 ReLU

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>37170 Pooling

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>37171 The Fully Connected Layer

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>37172 Training CNNs

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>37173 Design Your Own CNN

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>37174 Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs - Promo

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>37174.1 Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs.html

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>37175 Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs - Introduction

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

>37175.1 Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs.html

Course Contents

16104 Exploratory Analysis of Understanding Marketing Conversion Rates

26142 Plan and Approach.html

28148 Problem and Plan of Attack.html

29149 Problem and Plan of Attack.html

30150 Problem and Plan of Attack.html

31151 Problem and Plan of Attack.html

32152 Using Q-Learning and Reinforcement Learning to Build a Trading Bot.html

33153 Using PySpark for Headline Classification.html

Data Science & Deep Learning for Business - 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

01001 Introduction - Why do this course Why Apply Data Science to Business

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

01002 Why Data is the new Oil and what most Businesses are doing wrong

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

01003 Defining Business Problems for Analytic Thinking & Data Driven Decision Making

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

01004 Analytic Mindset.html

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

01005 10 Data Science Projects every Business should do!

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

01006 Making Sense of Buzz Words, Data Science, Big Data, Machine & Deep Learning

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

01007 How Deep Learning is Changing Everything!

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

01008 The Roles in the Data World - Analyst, Engineer, Scientist, Statistician, DevOps

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

01009 How Data Scientists Approach Problems

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

02010 Course Approach - Different Options for Different Students

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

02011 Setup Google Colab for your iPython Notebooks

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

02011.1 Course Slides - Data Science for Business.pdf

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

02011.2 Data Science and Deep Learning for Business-20191204.zip

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

03012 Why use Python for Data Science

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

03013 Python - Basic Variables

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

03014 Python - Variables (Lists and Dictionaries)

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

03015 Python - Conditional Statements

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

03016 Python - Loops

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

03017 Python - Functions

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

03018 Python - Classes

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

04019 Introduction to Pandas

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

04020 Pandas 1 - Data Series

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

04021 Pandas 2A - DataFrames - Index, Slice, Stats, Finding Empty cells & Filtering

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

04022 Pandas 2B - DataFrames - Index, Slice, Stats, Finding Empty cells & Filtering<

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

04023 Pandas 3A - Data Cleaning - Alter ColomnsRows, Missing Data & String Operations

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

04024 Pandas 3B - Data Cleaning - Alter ColomnsRows, Missing Data & String Operations

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

04025 Pandas 4 - Data Aggregation - GroupBy, Map, Pivot, Aggreate Functions

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

04026 Pandas 5 - Feature Engineer, Lambda and Apply

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

04027 Pandas 6 - Concatenating, Merging and Joinining

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

04028 Pandas 7 - Time Series Data

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

04029 Pandas 7 - ADVANCED Operations - Iterows, Vectorization and Numpy

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

04030 Pandas 8 - ADVANCED Operations - More Map, Zip and Apply

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

04031 Pandas 9 - ADVANCED Operations - Parallel Processing

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

04032 Map Visualizations with Plotly - Cloropeths from Scratch - USA and World

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

04033 Map Visualizations with Plotly - Heatmaps, Scatter Plots and Lines

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

05034 Introdution to Statistics

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

05035 Descriptive Statistics - Why Statistical Knowledge is so Important

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

05036 Descriptive Statistics 1 - Exploratory Data Analysis (EDA) & Visualizations

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

05037 Descriptive Statistics 2 - Exploratory Data Analysis (EDA) & Visualizations

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11with Rajeev D. Ratan and Nidia Sahjara

05038 Sampling, Averages & Variance And How to lie and Mislead with Statistics

Data Science & Deep Learning for Business - 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara

Data Science & Deep Learning for Business™ 20 Case Studies 2019-11
with Rajeev D. Ratan and Nidia Sahjara