California House Price Prediction This project demonstrates an XGBoost Regressor model, built with Python and Scikit-learn, to predict California house prices. It achieved an R-squared score of 0.83 on the test data. The project showcases a full machine learning pipeline from data processing with Pandas to model evaluation.