Intro to Machine Learning
Class Notes
Class Notes
Section 1: Introduction, Cross Validation, KNN
Section 3: Regression and Variable Selection
Section 5: Neural Nets (quick intro)
Datasets
Datasets
Section 1 and 2: California Housing
Section 3: Baseball; Housing; Salary; MidCity; Telemarketing; OJ; Airline; Protein; Roll Call (votes); Roll Call (members), stocks
Section 5: Zagat Data
R Scripts
R Scripts
Section 2 (Trees), California setup, BART example
Section 4 (Classification), Functions
Exam / Project
Exam / Project
Class Recordings
Class Recordings