PSL_Book
1. Introduction
2. Linear Regression
3. Variable Selection and Regularization
4. Regression Trees and Ensemble
4.1. Regression Trees
4.2. Random Forest
4.3. GBM
5. Nonlinear Regression
6. Clustering Analysis
7. Latent Structure Models
8. TBA
9. Discriminant Analysis
10. Logistic Regression
11. Support Vector Machine
12. Classification Trees and Boosting
13. Recommender System
PSL_Book
4.
Regression Trees and Ensemble
4.
Regression Trees and Ensemble
4.1. Regression Trees
4.2. Random Forest
4.3. GBM