Data Science2025
Statistical Analysis of Housing Prices with Regularized Regression
Examined residential housing prices in the Ames Housing dataset using OLS, Ridge, and Lasso regression.
Methodology
Log-transformation for variance stabilization, 10-fold cross-validation with RMSE/MSE, and bootstrap resampling for uncertainty estimation.
Findings
Regularized models outperformed standard OLS; construction quality, living area, and neighborhood emerged as the strongest price predictors.
Tools & Methods
RidgeLassoCross-Validation