Stat3612 Statistical Machine Learning

Course materials by Dr. Aijun Zhang


Lecture 1: Introduction (Slides; Python)

Lecture 2: Data Exploration (Slides; Python)

Lecture 3: Generalized Linear Models (Slides; Python)

Lecture 4: Feature Engineering (Slides; Python)

Lecture 5: Regularized Linear Models

Lecture 6: Generalized Additive Models

Lecture 7: Model Interpretation

Lecture 8: Tree-based Methods

Lecture 9: SVM, AutoML (HyperOpt)

Lecture 10: Neural Networks

Lecture 11: DNN OpenBox

Lecture 12: Unsupervised Learning