About this Event
This event is reserved for our members, but we still have a few places available for those who would like to discover the club.
Don't hesitate to sign up - you'll be put on a waiting list and we'll confirm your place a days before the event.
Raphael Baizeau AI Officer - Digital Engineering for Business, Daniel Raybaut Datalab IT Architecture & Security Manager
Egis and datacraft collaborated to propose a challenge to the challenge data ENS platform: https://challengedata.ens.fr/challenges/163
In this workshop, participants will work on this challenge and try to propose a machine learning model able to accurately predict the parking fraud rate in a specific area, at a specific time.
The participants will build models incorporating data such as weather data, past fraud rate for the specific zone and its neighbors, as well as date features.
By the end of this workshop, participants will be able to make their first contribution to the leaderboard of this challenge, share their approach as well as being able to ask questions to the challenge organizers.
2503-Egis-Stationnement
Event Venue & Nearby Stays
3 Rue Rossini, 3 Rue Rossini, Paris, France
EUR 0.00
