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.
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