Credit Card Customer Data with Clustering and RFM

• This project made use of a dataset for Clustering purposes
• RFM analysis was carried out and customers were placed based on range as shown below;

  • RFM <= 3 - Low Credit Customers

  • 4 > RFM > 3 - Average Credit Customers

  • RFM score >= 4 - High Credit Customers

• The final output of the clusters can be used as a classification problem such as Logstic Regression, KNN and so on.