In this program
- Logistic regression
- Linear discriminant analysis
- Support vector machines (introduction)
- Decision trees and random forests
- Neural networks overview (optional)
- Unsupervised learning: clustering and PCA
Classification and beyond
Unsupervised learning: clustering and PCA
Statistical learning · STEM / applied
Topic
Unsupervised learning: clustering and PCA
Undergraduate Statistical learning — outline derived from course README sections and typical US statistics syllabi (OpenIntro / standard OER where applicable).