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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