Shawna N. Smith, Ph.D.

Global School on Empirical Research Methods
University of St. Gallen, St. Gallen, Switzerland

Foundations of Machine Learning & Regression Methods for Categorical Outcomes

13-17 June 2022 [SYLLABUS]

Lecture notes:

Part 1: Regression Models: Intro | LRM | BRM | T&F | ORM | MNLM | 

Part 2: Machine Learning: MLIntro | BRMRedux | Trees | kNN | SVM | 

Assignments:

 A1:Math | A2: BRM | A3: ORM&MNLM | A4: ML 

Data files: 

Stata [.zip]       R [.zip]

Code from lectures:

Stata [.zip] R [.zip]

Lab guides & scripts:

Stata [.pdf | .zip]  R [.pdf | .zip]

Other useful things: 

 Getting Started Using Stata | Getting Started Using Stata Do-files | Installing Spost13 & usecda