Predicts California district-level house prices using census data — combining KNN imputation, feature engineering, and a Random Forest model (R² = 0.75) to help property businesses make faster, data-driven valuation decisions.

data-science eda feature-engineering housing-price-prediction knn linear-regression machine-learning pandas python3 random-forest real-estate regression-analysis scikit-learn
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Predicts California district-level house prices using census data — combining KNN imputation, feature engineering, and a Random Forest model (R² = 0.75) to help property businesses make faster, data-driven valuation decisions.

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#data-science#eda#feature-engineering#housing-price-prediction#knn#linear-regression#machine-learning#pandas#python3#random-forest#real-estate#regression-analysis#scikit-learn