[NeurIPS 2020] Code for "An Efficient Adversarial Attack for Tree Ensembles"
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Jun 6, 2021 - C++
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xgboost-models
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An interpretability method for XGBoost and fault detection models
python data-science machine-learning xgboost interpretability adversarial-example explainable-ai xgboost-models partenarial-example
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Sep 19, 2019 - Jupyter Notebook
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Feb 5, 2022 - Jupyter Notebook
Solução end-to-end para predição de inadimplência, desde feature engineering até API REST em produção. Redução de 25% em perdas financeiras com modelos explicáveis (SHAP/XGBoost).
machine-learning random-forest data-engineering banking predictive-modeling flask-api financial-technology credit-risk scikit-learning xgboost-models
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Apr 1, 2025 - Python
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