pyspark-churn-analytics
This project is a PySpark-based customer churn prediction pipeline that covers the full machine learning lifecycle, from raw data ingestion and preprocessing through model training, evaluation, and streaming inference. It uses MLflow for experiment tracking and artifact management, with a production-focused setup for reproducibility and monitoring.
