SDS 323: Statistical Learning and Inference – Fall 2020
Overview
Materials
About
1. Linear Regression
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: Linear Regression I
Slides: Linear Regression II
Lab 1: Linear Regression
0. Introduction and Prerequisites
2. Classification
