Skip to content

Lab Materials for the EPFL Course on Machine Learning for Behavioral Data CS-421, Spring 2022.

Notifications You must be signed in to change notification settings

epfl-ml4ed/mlbd-2022

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

66 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

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.

About

Lab Materials for the EPFL Course on Machine Learning for Behavioral Data CS-421, Spring 2022.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published