Resource-efficient rank-based ensembling for Kaggle S6E9. A lightweight solution optimizing ensemble weights via mathematical ranking intuition instead of brute-force compute. Focuses on feature interactions and synthetic data artifact correction built via AI-assisted workflows.
tabular-data kaggle nelder-mead kaggle-solution scipy-optimize mashine-learning rank-ensemble cpu-onl
-
Updated
Sep 19, 2026 - Jupyter Notebook