Table of Contents

  1. Understanding Python
  2. Feature Engineering
  3. Data Visualisation
  4. Basic and Advance Regression techniques
  5. Classification
  6. Un Supervised Learning
  7. Text Analysis
  8. Neural Network and Deep Learning
  9. Recommendation System
  10. Time Series Analysis