## 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