Practical Machine Learning with Python

Part I. Understanding Machine Learning

Machine Learning Basics
The Python Machine Learning Ecosystem

Part II. The Machine Learning Pipeline

Processing, Wrangling, and Visualizing Data
Feature Engineering and Selection
Building, Tuning, and Deploying Models

Part III. Real-World Case Studies

Analyzing Bike Sharing Trends
Analyzing Movie Reviews Sentiment
Customer Segmentation and Effective Cross Selling
Analyzing Wine Types and Quality
Analyzing Music Trends and Recommendations
Forecasting Stock and Commodity Prices
Deep Learning for Computer Vision

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