- Design a criteria for churned users and create labels;
- Design new features;
- Data aggregation;
- Train three classification models and choose the best one;
- Select best features;
- Result interpretation.
explore.ipynb- Data analyse and transformations.models.ipynb- Models training and interpretations.
The dataset for the project can be found here: https://www.kaggle.com/sharthz23/sna-hackathon-2019-collaboration?select=train.
The project is written on Scala, please use Almond to run it: https://almond.sh/