EPIDEM 260
Machine Learning with R
Hands-on course on machine learning for students who are familiar with R. Covers topics on Regression and Classification Trees (CART), Random Forests, Gradient Boosting, Dimension Reduction, and Clustering.
Prerequisites & course information
Hands-on course on machine learning for students who are familiar with R. Covers topics on Regression and Classification Trees (CART), Random Forests, Gradient Boosting, Dimension Reduction, and Clustering.
Sources
- Course catalogue ↗2026-2027