Customer Bank Segmentation using K-Means Clustering

Requirements

• Jupyter Notebook (Anaconda, Google Colab, etc.)
• Bank dataset
• Python libraries: pandas, numpy, matplotlib, seaborn, scikit-learn

Project Overview

This project focuses on customer segmentation using the K-Means clustering algorithm. The goal is to analyze customer data and identify different groups based on their banking behaviors.

More Information

For a detailed report and presentation, check out the document:
📄 Project Report & Presentation

🔗 LinkedIn Project Link: Check it out here