Table of Contents

  1. Introduction to Python Programming
  2. Python for Machine Learning     
  3. Introduction to Machine Learning         
  4. Supervised Learning and Unsupervised Learning         
  5. Linear Regression: A Hands-on guide   
  6. Logistic Regression – An Introduction
  7. A sneak peek into the working of Support Vector machines(SVM)
  8. Decision Trees
  9. Random Forests
  10. Time Series models in Machine Learning
  11. Introduction to Neural Networks
  12. Recurrent Neural Networks
  13. Convolutional Neural Networks
  14. Performance Metrics
  15. Introduction to Design Thinking
  16. Design Thinking Case Study