On March 16, the course “Introduction to Statistical Learning” will take place. It provides an introduction to the following topics:
- Visualization
- Clustering (SOM and k-means extensions)
- Classification (Decision trees, Boosted trees and Random forest)
- Regression (Ridge regression, Lasso regression and Elastic Net)