Introduction to Statistical Learning

This is my github repository that includes all the concepts and content I have covered while going through what is probably the best beginner level book for statistical data mining - Introduction to Statistical Learning with applications in R

What I have tried to do here is to capture the video lectures and R labs for the various concepts, that were offered as part of the course work on stanford.lagunita.org. I try to update this as frequently as possible with code and exercise changes, based on what I have learnt.

Following are the links to the individual notebooks -

  1. Classification
  2. Resampling
  3. Non-Linear Models
  4. Support Vector Machines
  5. Tree Based Models
  6. Unsupervised Learning

The site also provided me with a certificate with distinction, which is sweet. Do reach out if there are any clarifications or suggestions!