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AutoPricePred

Machine learning regression model predicting 1985 automobile prices. Lasso model achieves 91.7% R² with superior generalization over XGBoost. Handles extreme multicollinearity (VIF 16,676→8.36), data leakage detection, and outlier treatment through PCA and domain-driven feature engineering.

automobile-pricing-algorithm cross-validation data-analysis data-science feature-engineering hyperparameter-tuning jupyter-notebook lasso-regression machine-learning model-comparison

Creat：2025-03-01T04:58:52

Update：2025-11-06T13:46:08

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