Note: Due dates of the exams will not move, however the timeline of topics and smaller assignments might be updated throughout the semester.
Date 
Lesson 
Slides/Videos 
Overview 
Lab 
AE 
HW 
EC 
Exam 

Week 01 







Tues, Jan 14 
Welcome to Statistical Learning 







Thur, Jan 16 
Meet the toolkit 








Lab 01: Welcome to R! 








Week 02 







Tues, Jan 21 
Tradeoffs: Accuracy and interpretability, bias and variance 







Thur, Jan 23 
Linear Regression and Logistic Regression Review 








Week 03 







Tues, Jan 28 
Bayes' Theorem, Linear Discriminant Analysis, Quadratic Discriminant Analysis (Part 1) 








Tidy data 








Data visualization 







Thur, Jan 30 
Bayes' Theorem, Linear Discriminant Analysis, Quadratic Discriminant Analysis (Part 2) 








Week 04 







Tues, Feb 4 
Bayes' Theorem, Linear Discriminant Analysis, Quadratic Discriminant Analysis (Part 3) 








Lab 02: LDA and QDA 







Thur, Feb 6 
Crossvalidation 








Week 05 







Tues, Feb 11 
Review 







Thur, Feb 13 
Midterm 01 








Week 06 







Tues, Feb 18 
Midterm 01 Overview 







Thur, Feb 20 
Lab 03: Crossvalidation 








Week 07 







Tues, Feb 25 
Ridge Regression 







Thur, Feb 27 
The Lasso and Elastic Net 








tidymodels 








Week 08 







Tues, Mar 3 
tidymodels (Part 2) 








Polynomial Regression and Splines 







Thur, Mar 5 
Lab 04: High dimensional data 








Week 09 







Tues, Mar 10 
No Class: Spring Break 







Thur, Mar 12 
No Class: Spring Break 








Week 10 







Tues, Mar 17 
No Class 







Thur, Mar 19 
No Class 








Week 11 







Tues, Mar 24 
Welcome back! 








Lab 05: Nonlinear models 







Thur, Mar 26 
Midterm 02 Review 








Week 12 







Tues, Mar 31 
Midterm 02 







Thur, Apr 2 
Decision Trees  Regression Trees 








Building Regression Trees 








Pruning Regression Trees 








Regression Trees Example 








Week 13 







Tues, Apr 7 









Plotting Decision Trees 








Decision Trees  Classification Trees 







Thur, Apr 9 
Follow Up 








Bagging Decision Trees 








Random Forests 








Random Forests in R 








Week 14 







Tues, Apr 14 
Boosted Decision Trees: The Algorithm 








Boosted Decision Trees: Tuning 








Boosted Decision Trees in R 








Variable Importance 







Thur, Apr 16 
Lab 06: Ensemble models 








Week 15 







Tues, Apr 21 
Midterm 03 Review 








Optional: Bayes' Theorem and Coronavirus Antibody Testing 








Optional: Reading Medical Literature 







Thur, Apr 23 
Midterm 03 handed out 








Week 16 







Tues, Apr 28 
Midterm 03 due 






