Some useful information to use and play with the platform!
To use this service well, please, take a time to read the information below :
" Challenge DATA " is an initiative supported by the CFM chair on Data Sciences at ENS, to bridge the gap between real applications, research and teaching in data sciences. It promotes a free exchange of data and algorithmic knowledge, for the development of education, science, industrial, social and medical applications.
The Challenge DATA platform hosts machine learning challenges, based on data provided by start-ups, innovative companies, medical centers and scientific experiments. They are addressed to students, data scientists and researchers in machine learning and statistics. Each challenge is a supervised classification or regression problem, organized as a competition according to the Kaggle procedure. There will be more than 10 challenges covering a wide range of data, applications and machine learning problems.
Each project includes a description of the context, the objectives and provides a supervised data set for training. A participant submits the result of his algorithm on the test set and gets a score and a ranking according to a specified metric.
Participants to a challenge are invited to upload their final report describing their algorithm. They will be available for Professors, for data providers, and researchers, according to the free exchange principle of this initiative. Professors who register their class can specify a subset of projects for their students, follow their activity and automatically download their reports.
For further information to register your class or submit a challenge, contact challenge.data@ens.fr.