Project 1: Customer Segmentation using Clustering Techniques
Customer segmentation is a core application of data science in business analytics, helping organizations understand customer behavior, identify patterns, and tailor marketing strategies to specific groups. By dividing customers into distinct segments based on purchasing habits, demographics, or interests, businesses can optimize their outreach, increase customer retention, and improve overall satisfaction.
In this project, we’ll explore clustering techniques for customer segmentation, focusing on the widely-used K-means algorithm. Our objective is to group customers into meaningful clusters that represent distinct segments within the market. This allows us to analyze the unique characteristics ...