davhofer / mlbd-2023

Lab Materials for the EPFL Course on Machine Learning for Behavioral Data CS-421, Spring 2023.

Machine Learning for Behavioral Data @ EPFL (CS-421)

Introduction

Computer environments such as educational games, interactive simulations, and web services provide large amounts of data, which can be analyzed and serve as a basis for adaptation. This course will cover the core methods of user modeling and personalization, with a focus on educational data.

Structure

This repository contains the slides, in-class demonstrations, and interactive notebooks for each lecture in the lectures folder, organized by week. In project, you will find the starter code and outline notebooks for relevant milestones of the project. The practice-exercises folder contains additional material for practice, created from homework assignments of past iterations of the course. The folder tutorials contains demos shown in the tutorial sections of the course.

Contributing

This code is provided for educational purposes and aims to facilitate reproduction of lab sessions. We have done our best to document, refactor, and test the code before publication.

Spring 2023 Teaching Team

• Professor Tanja Käser, ML4ED Laboratory
• TAs Paola Mejia and Vinitra Swamy
• EA Antoine Daeniker