SDS 323: Statistical Learning and Inference – Fall 2020
Overview
Materials
About
2. Classification
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: Classification I
Slides: Classification II
Lab 2: Classification
1. Linear Regression
3. Resampling Methods
