The following schedule is subject to change based on the progress of the class. Please check back frequently!

Date Day Topic Out Due
28-Jan Tues. Introduction to ML (Ch. 2.1)
30-Jan Thur. Evaluating Models (Ch. 2.2) IC01
04-Feb Tues. Linear Regression (Ch. 3.1-2) HW01
06-Feb Thur. SNOW DAY - CLASS CANCELLED
11-Feb Tues. Extending the Linear Model (Ch. 3.3) Skill Check 01 HW01
13-Feb Thur. Comparing Linear Regression and KNN (Ch. 3.5) IC02
18-Feb Tues. Logistic Regression (Ch. 4.3) HW02 Skill Check 01
20-Feb Thur. RALLY DAY - AFTERNOON CLASSES CANCELLED
25-Feb Tues. Generative Models for Classification (Ch. 4.4) Skill Check 02 HW02
27-Feb Thur. Classification Lab (Ch. 4.7) IC03
04-Mar Tues. Cross-Validation and Bootstrap (Ch. 5.1-2) HW03 Skill Check 02
06-Mar Thur. Cross-Validation and Bootstrap Lab (Ch. 5.3) IC04
11-Mar Tues. Subset Selection (Ch. 6.1) Skill Check 03 HW03
13-Mar Thur. Shrinkage Methods (Ch. 6.2)
18-Mar Tues. SPRING BREAK
20-Mar Thurs. CLASSES CANCELLED
25-Mar Tues. Dimension Reduction (Ch. 6.3) HW04 Skill Check 03
27-Mar Thur. Case Study: Automation in the Port of LA (S. Wang and T. Cruz)
01-Apr Tues. Generative AI Skill Check 04 HW04
03-Apr Thur. Decision Trees (Ch. 8.1) + Final Project Kickoff
08-Apr Tues. Bagging, Random Forests, Boosting (Ch. 8.2) FP0 Skill Check 04
10-Apr Thur. Tree-based Methods Lab (Ch. 8.3) IC05
15-Apr Tues. Unsupervised Learning (Ch. 12.1-4) FP1 FP0
17-Apr Thur. K-Means and Hierarchical Clustering Lab (Ch. 12.5 ) IC06
22-Apr Tues. Final Project Work Session FP2 FP1
24-Apr Thur. Final Project Work Session IC07
29-Apr Tues. Guest Speaker: Jane Adams FP2
01-May Thur. Final Project Celebration