datacraft Workshop: Forecast Parking Fraud High-Risk Areas

Workshop: Forecast Parking Fraud High-Risk Areas

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.