Applied NLP for automated categorization of products, aligning Amazon items with CARiD’s category framework. Conducted significant statistical analysis to unearth factors influencing product popularity and sales. Segmented automotive products into five clusters, ranging from "Basic Needs" to "Premium Selections", enabling targeted marketing.

This Repository is a Part of MSC EELU Data Science & Machine Learning Bootcamp Final Project

Leveraging K-Means clustering, our project categorizes retail customers based on purchasing behaviors and demographics. This provides businesses with actionable insights to tailor marketing efforts, enhancing customer experience and boosting sales.