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Machine Learning - Master's program in Economics & Financial Engineering at Université Paris Dauphine - PSL. The objective of this challenge proposed by by SNCF-Transilien is to predict is the number of validations per day and per station.

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Machine-Learning

Objectives

As part of the Machine Learning course in the Master's program in Economics & Financial Engineering at Université Paris Dauphine - PSL, the objective of this challenge proposed by SNCF-Transilien is to predict is the number of validations per day and per station.

Link of the challenge : https://challengedata.ens.fr/participants/challenges/149/

Setting up the project

Run the file install_for_windows.bat, it will install dependencies and create a virtual environment for the project.

All the code is in the src folder. The instructions are in the static folder. The data are in data folder. You can also find the data at https://challengedata.ens.fr/participants/challenges/149/

License

MIT

Authors

Authors : Naïm LEHBIBEN - Joudy BENKADDOUR

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Machine Learning - Master's program in Economics & Financial Engineering at Université Paris Dauphine - PSL. The objective of this challenge proposed by by SNCF-Transilien is to predict is the number of validations per day and per station.

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