I developed a regression-based machine learning system to predict house prices based on features like location, size, and number of rooms. Using Linear Regression, Random Forest Regressor, and Gradient Boosting, I compared model performance and optimized hyperparameters for better results. The system provided highly accurate price estimates and demonstrated the value of ML in real estate decision-making.
