This repository contains a collection of Machine Learning (ML) projects tailored for the E-commerce domain. These projects aim to enhance various aspects of online retail, such as product recommendations, customer segmentation, sales forecasting, fraud detection, and more.
##🚀 Projects Included
This project explores how machine learning regression models can be used to predict advertisement-driven sales. By analyzing advertising expenditures across different channels (TV, radio, social media, etc.), we can determine their impact on sales and optimize marketing budgets effectively.
This project focuses on predicting customer churn using classification models. By analyzing customer behavior and usage patterns, businesses can identify customers likely to leave and take proactive measures to retain them
This project focuses on customer segmentation using unsupervised learning techniques, specifically clustering algorithms. By analyzing customer spending behavior and demographics, businesses can group similar customers and tailor marketing strategies accordingly