Customer-Segmentation-Member-Lost-Prediction-and-Retention-Strategies-for-Payment-Transaction

This project is mainly aimed to:

1. Applied the RFM framework to separate customers into four categories by their engagement and value for the service.
2. Identified criteria of the potential churn with Semi-supervised Learning and predicted according to business context.