Chapter 8 Supervised Machine Learning

8.1 k-Nearest Neighbors (kNN)

8.2 The Bias-Variance Tradeoff

8.2.1 Train-Test-Holdout

8.2.2 \(k\)-Fold Cross Validation

8.3 Regression Modeling (Revised)

8.3.1 Regularization

8.4 CART Models

8.4.1 Decision Trees

8.4.2 Regression Trees

8.5 Random Forest Models

8.6 Neural Networks