Building a predictive model, feature selection, model selection, validation

Lecture

Computer lab

Classification

Lecture 1: kNN, LDA, logistic regression

Lecture 2: Decision trees, Random forest

Computer lab

Clustering

Lecture: k-means and hierarchical clustering

Computer lab

Principal Component Analysis

Lecture

Computer lab

Advanced regression methods

Lecture: more complex models and ensemble learning