Project Overview
This project implements KMeans clustering on US Survey Credit Data 2019. The goal was to identify distinct customer segments to tailor marketing strategies and understand customer behavior better.
Key Features
- Data Preprocessing: Cleaning and normalization of large datasets.
- KMeans Clustering: Unsupervised learning algorithm to group similar customers.
- Interactive Dashboard: Built with Jupyter Dash to visualize the clusters and explore the data dynamically.