Supaero Data Science

Portfolio

This page features some projects made with students that deserved to be in the spotlight.

ML notebooks

Every year, as part of the “Algorithms in Machine Learning“‘s evaluation, students have to assemble a notebook on a specific Machine Learning topic. This notebook needs to be didactic, rigorous and useful for the reader. It sould be readable in around 1.5 hours. All notebooks are then peer-reviewed by other students and by academic staff. Some really deserve some publicity, so we link to them here.

RL challenge

The RL challenge is a friendly competition between students in the RL class. Here are a few videos from past editions.

TBD.