Machine-Learning-1

This repository contains programming and written assignments for the course Machine Learning 1, given at the University of Amsterdam 2019-2020.

Authors:
• Lennert Jansen
• Daniel Nobbe
• Hannah Lim

Lab 1: (Regularized/bayesian) linear/polynomial regression; model selection.
Lab 2: Logistic regression; gradient-based optimization.
Lab 3: Gaussian Processes; Support Vector Machines.

Getting started

Make sure to activate the conda environment (or first create one with environment.yml).