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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.
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