Customer Segmentation using Machine Learning (K-Means Clustering)

This project focuses on customer segmentation using the K-Means clustering algorithm.

The dataset contains customer information such as age, annual income, and spending score. Using machine learning techniques, customers are grouped into different segments based on their purchasing behavior.

This type of analysis helps businesses better understand their customers and create targeted marketing strategies.

Technologies used in this project include Python, Pandas, Scikit-learn, and data visualization libraries.