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Customer Segmentation in Retail using K-Means Clustering

Original price was: ₹ 7,500.00.Current price is: ₹ 6,000.00.

Customer Segmentation in Retail using K-Means Clustering A project that uses K-Means clustering for segmenting retail customers. The goal is to identify different customer groups based on their shopping habits to optimize product offerings and marketing tactics.

This project applies K-Means clustering to segment retail customers based on their shopping habits, product preferences, and spending patterns. By clustering customers, businesses can identify high-value customers, target promotions more effectively, and improve overall sales strategies. The project includes data preprocessing, feature selection, and the implementation of the K-Means algorithm.