Customer Segmentation using K-Means and DBSCAN

Built a customer segmentation project using unsupervised machine learning techniques. The project included data preprocessing, clustering using K-Means and DBSCAN, cluster evaluation using the Silhouette Score, and data visualization to identify customer groups that support business decision-making.

Key Features

Customer segmentation

Data visualization

K-Means clustering

DBSCAN clustering

Cluster evaluation