Table of Contents

  1. Pre-requisite to Machine Learning
  2. An introduction to Machine Learning
  3. Finding Natural Patterns in Data
  4. Building Classification Methods
  5. Data Pre-Processing in Python
  6. Building Regression Models
  7. Creating Neural Networks
  8. Introduction to Deep Learning