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 -
- Classification
- Resampling
- Non-Linear Models
- Support Vector Machines
- Tree Based Models
- 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!