Engie_dataScienceChallenge

https://datascience-challenge.engie.com/#/challenge/128738

Ready to run the code

0. Clone the code into a folder, name it as you want. In the same folder create 2 folders named Engie_Result (result of the prediction will be exported in ) and FastText (extract the word embedding information)

1. In the folder Engie_result create 2 other folders: named ML and DL

2. In the FastText folder download the word embeding named : cc.fr.300.bin

$ ./download_model.py fr

3.Create your env, name it as you want and activate it. Install all the librairies required to run the project.

$ source yourenv/bin/activate
$ pip install -r requirement.txt

4.Change the data_path in the config ini with your own path
5. Launch the code

$ python train-test.py