STA 4241
Statistical Learning in R
Overview of the field of statistical learning. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, and clustering. Approaches will be illustrated in R.
Topics
- linear regression
- classification
- resampling methods
- shrinkage approaches
- tree-based methods
- support vector machines
- and clustering
Topics explicitly listed in official catalogue description
Prerequisites & course information
Grading Scheme: Letter Grade Prerequisite: STA 4322 and STA 4210 and ( MAS 3114 or 4105 ). Attributes: Artificial Intelligence
Sources
- Course catalogue ↗2025-2026
- Catalogue entry ↗
Catalogue variants
- Statistical Learning in R · 3 Credits