house price prediction using machine learning with xgboost to estimate property values from structured housing features and engineered variables.
exploratory-data-analysis cross-validation feature-selection supervised-learning data-preprocessing feature-engineering predictive-modeling hyperparameter-tuning house-price-prediction model-training machine-learning-regression missing-value-handling train-test-split model-optimization categorical-encoding housing-market-analysis xgboost-regressor rmse-evaluation r2-score-evaluation real-estate-price-forecasting
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Updated
Apr 26, 2026 - Jupyter Notebook