In this use case repository, there is the preprocessing and the model construction for a binary classification problem of whether a customer will churn or not.
We have received two main datasets from MYT, one the incoice oriented and the other about customer complaints. This data has been processed, cleaned and transformed.
The pipeline is used in Mage divided in blocks like the energy prediction model
- model.ipynb: This notebook has the model construction
- model.ipynb: This notebook has the preprocessing
The model used for this use case is the churn_model and it is inside the folder models
Install the project's dependencies from 'requirements.txt'