House Price Prediction System

A machine learning system to predict house prices based on features such as location, size, and property details. The project included data preprocessing, exploratory analysis, and model development using Linear Regression, Random Forest, and Gradient Boosting. The final model provided highly accurate predictions, demonstrating the value of ML in real estate decision-making.