This repository contains a sample notebook to get you started on the challenge. Inside the notebook, you will find the main steps of a exploratory ML pipeline: loading the data, perform a short exploratory data analysis and modeling in order to generate predictions.
Clone this repository:
git clone https://github.com/Total-RD/starter_kit_data_challenge_EEIA22.git
Download the data from the plateform, and put it in the data/ directory
- python 3.7
- pandas
- numpy
- matplotlib
- sklearn
This project is licensed under the MIT License - see the LICENSE file for details