Welcome to the Challenge Data website!!

Each year, we organize machine learning challenges from data provided by public services, companies and laboratories: general documentation and FAQ. Seasons begin in January; the challenges are introduced in the context of Stéphane Mallat's lesson at the Collège de France.
A prize ceremony for the best participants of the preceding season will be held in February at the College de France (03/02/2022).

For participants

Guide to create an account, choose your challenges and submit solutions.

For professors

Guide to create a course project from selected challenges and to follow student progresses.

For Challenge providers

If you are interested in organizing a challenge with us, do not hesitate to contact us!
Each year, we organize a call for projects during the summer. Projects are selected and beta-tested between september and december, and launched in january. Relevant information can be found in the providers guide.

About us

Challenge Data is managed by  the Data team (ENS Paris), in partnership with the Collège de France and the DataLab at Institut Louis Bachelier.
It is supported by the CFM chair, the PRAIRIE Institute and IDRIS from CNRS.



🕹 Challenges of the 2024 season 🕹


Predict sequentially the evolution of a career
Competitive challenge
Humanities
Industrial
Reinforcement learning
Classification
Few-shots to learn anatomic and oncologic structures and in radiology
Competitive challenge
Biology
Health
Segmentation
Competitive challenge
Economic sciences
Industrial
Regression
High frequency market data: could you guess the stock?
Competitive challenge
Economic sciences
Finance
Classification
CorroSeg : Corrosion Detection in Wells
Competitive challenge
Physics
Industrial
Segmentation
Football : Can you guess the winner?
Competitive challenge
Sport
Classification
Electricity price forecasting
Competitive challenge
Economic sciences
Industrial
Classification
Regression