- Python 3.10
- Create a new pipenv environment using command
pipenv shell - Install dependencies using
pipenv install - Create data folder inside project and add datasets from kaggle
- Create models folder inside project
- Run EDA.ipynb to generate feather files with the datasets
- Run FE to save the dataset that was feature engineered
- Run one of the two models: XGBoost or LightGBM