spring 2017
Discussion session material for STAT 435 (imported from Canvas).
Week 1: Introduction to R and R Markdown
Week 2: Regression
Week 3: Bayes error rate
Week 4: Bootstrap and subset selection
Week 5: Selected exercises (bias-variance tradeoff + QDA)
Week 6: Selected exercises (Curse of dimensionality + Ridge regression)
Week 7: More on penalized regression
Week 8: PCA and nonlinear methods
Week 9: Tree-based methods
Week 10: SVM and review