K-Means Clustering for Customer Segmentation in Real Estate

This project uses K-Means clustering to segment real estate customers based on factors such as property preferences, location choices, and budget range. By analyzing customer data, the system groups clients with similar requirements, allowing real estate agents to offer personalized recommendations and improve the overall customer experience.