Customer Segmentation using K-Means Clustering and Demographic Data

This project segments customers based on demographic data such as age, gender, income, and location using K-Means clustering. By grouping customers with similar characteristics, businesses can tailor their marketing campaigns to each segment. The system also includes data preprocessing steps like handling missing values and normalizing features before applying the clustering algorithm.