SDS 323: Statistical Learning and Inference – Fall 2020
Overview
Materials
About
5. Beyond Linearity
Materials
0. Introduction and Prerequisites
1. Linear Regression
2. Classification
3. Resampling Methods
4. Model Selection and Regularization
5. Beyond Linearity
6. Tree Based Methods
7. Unsupervised Learning
8. Special Topics
Slides: Model Selection
Slides: Model Regularization
Lab 5: Beyond Linearity
4. Model Selection and Regularization
6. Tree Based Methods
