Telco Customer Churn Prediction Model

Outlines of the project

1. Setup github repository and virtual environment (extras : requirements.txt, setup.py)
2. Creating aligned folder structure (src, components) to build packages
3. Custom Exception , Logger and utilities script.
4. EDA and model making in Jupyter Notebook @{notebook/EDA} and @{notebook/model}
5. Creating "data_ingestion" and "data_transformation" modules.
6. Saving vizualizations in @{artifacts/eda}
7. Creating pipelines for train and validation sets.
8. Model creation and training on all the sets available.
9. Saving model as .pkl file and exporting the final project analysis as "POWER BI" file for presentation.