mlim: single and multiple imputation with automated machine learning
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Updated
Feb 22, 2026 - R
mlim: single and multiple imputation with automated machine learning
autoEnsemble : An AutoML Algorithm for Building Homogeneous and Heterogeneous Stacked Ensemble Models by Searching for Diverse Base-Learners
End-to-end ML framework for ATP/WTA match prediction: stacking ensemble (LightGBM+XGBoost+LogReg), walk-forward validation, live odds (SofaScore/TheOddsAPI), value-bet detection, LLM player news (NVIDIA NIM), Next.js dashboard and GitHub Actions auto-retraining.
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