p8106-machine-learning-r

This repository contains topics in Statistical Machine Learning in R

1. Linear Regression

2. Cross Validation & Bootstrap

3. Linear model Selection & Regularization (Ridge Regression, Lasso, Elastic net, Principal Component Regression, Partial Least Sauares)

4. Moving beyond linearity: Splines and GAM

5. Linear Methods for Classification

6. Tree-Based Methods - Decision trees, bagging, random forest, boosting

7. Support Vector Machines

8. Unspervised Learning - Clustering and PCA

9. Neural Networks