This project is an intelligent analytics dashboard designed to help e-commerce business owners make sense of their customer data. Instead of forcing users to analyze endless spreadsheets of transactions, the system uses Machine Learning to automatically sort shoppers into distinct, actionable groups—such as "Premium Loyalists" or "At-Risk Whales"
Building and evaluating user-based and item-based data models using MAE and RMSE, to create a movie recommendation system. Uses Python libraries (pandas, numpy etc.)
house price prediction using machine learning with xgboost to estimate property values from structured housing features and engineered variables.
From-scratch implementation of Linear Regression in Python for educational purposes.
Netflix Movie Recommendation Engine Using SVD
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