Progressive Ames house-price modeling with metric-aligned MLPs, feature engineering, CatBoost, and a TabPFN-dominant ensemble.
machine-learning deep-learning scikit-learn tabular-data pytorch ensemble-learning feature-engineering gradient-boosting house-price-prediction ames-housing multilayer-perceptron catboost early-stopping adamw foundation-models tabular-regression tabpfn rmsle target-transformation log-space-ensembling
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Updated
Aug 12, 2026 - Jupyter Notebook