Problem Set 1
Statistical Learning Warmup
Topics include: Simple Linear Regression, Maximum Likelihood Estimation, R programming.
Problem Set 2
Out of Sample Performance and Validation Sets
Topics include: KNN, K-fold Cross Validation, Evaluation Metrics(LOOCV, GCV, AIC, BIC, etc.)
Problem Set 3
Predictors Selection for Linear Regression
Topics include: Ridge, LASSO
Problem Set 4
Nonlinear approach to linear regression
Topics include: Splines, GAM
Data Analysis 1
Problem Set 5
Binary & Multinomial Classification
Topics includes: Logistic Regression, Generative Classificaiton
Problem Set 6
Classification continues
Topics includes: Support Vector Machine, Flexible Classification
Data Analysis 2
Final Project