Segmenting Financial Customers with K-Means Clustering

This project uses K-Means clustering to segment financial institution customers based on various factors such as transaction history, credit score, and account type. The system identifies distinct customer segments, which can be targeted with personalized financial products and services. The clustering model helps banks and financial institutions improve customer engagement and retention strategies.