2018W - Statistical Machine Learning Course
Implementations of different machine learning algorithms:
- Linear SVM for binary and multi-class classification
- Trained through stochastic subgradient descent or stochastic coordinate dual ascent
- Bernoulli and Gaussian Naive Bayes
- k-Gaussian Mixture Model
- Gaussian Discriminant Analysis
- k-Nearest Neighbour
- Decision Tree