My Work on "An Introduction to Statistical Learning with Applications in R Second Edition" by Gareth James, Daniela Witten, Trevor Hastie, & Robert Tibshirani
- Lab 2: Introduction to R Exercises
- Lab 3: Linear Regression Exercises
- Lab 4: Classification Exercises
- Lab 5: Cross-Validation and the Bootstrap
- Lab 6: Linear Models and Regularization Methods
- Lab 7: Moving Beyond Linearity
- Lab 8: Tree-Based Methods
- Lab 9: Support Vector Machines
- Lab 10: Deep Learning
- Lab 11: Survival Analysis