The goal of this project was to predict house prices based on property features such as location, size, number of rooms, and other relevant attributes. I handled data cleaning, exploratory data analysis, feature engineering, and trained regression models to estimate property prices. Model performance was evaluated using metrics like RMSE and R-squared to ensure reliable predictions. This project demonstrates the practical use of machine learning for real estate price estimation and market analysis.