🛰️ My solution to the Kelvins spotGEO challenge
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Updated
Sep 20, 2020 - Python
🛰️ My solution to the Kelvins spotGEO challenge
19 place solution for ID R&D Antispoof Competition
A curated collection of high-performance modeling pipelines, feature engineering frameworks, and winning strategies for data science competitions (Zindi)
A structured Kaggle workflow for Predicting F1 Pit Stops with reproducible experiments, registry-based OOF/test tracking, audit checks, and packaged Kaggle worker deployment. Includes CatBoost/LightGBM/XGBoost training, blending/stacking, and submission-ready automation scripts.
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