Stats 315A: Statistical Learning

K-Nearest Neighbors with cross-validation techniques. Explore confidence bands, leave-one-out CV, and k-fold validation on simulated classification data.

Digit classification on handwritten zipcode data. Apply linear regression and KNN methods with error analysis on real-world image data.

Linear and Quadratic Discriminant Analysis on golf shot data. Visualize decision boundaries and compare LDA vs QDA classification performance.

Naive Bayes classification on spam data and high-dimensional data piling analysis. Explore the challenges and techniques for high-dimensional classification.