House Price Predictor is a machine learning–powered web application built with ML.NET and ASP.NET Core Web API. It predicts the price of a house based on key features such as square footage, number of bedrooms, and number of bathrooms. This project demonstrates a complete end-to-end ML integration pipeline:
This is a machine learning web application built with Flask that predicts house prices in Lahore. It uses an XGBoost model trained on custom data and a clean frontend with HTML, CSS, and JavaScript.
This code predicts house price using linear regression
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