Projects

Updated 6 months ago

py-smote-variants • Rank 15.4 • Science 23%

A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features

imbalanced-data imbalanced-learning oversampling smote

Updated 6 months ago

sentetik • Science 44%

Synthetic data generation package to balance imblanaced datasets

feature-extraction feature-selection imbalanced-data machine-learning

Updated 5 months ago

https://github.com/amr-yasser226/intrusion-detection-kaggle • Science 26%

End-to-end pipeline for multi-class cyber-attack detection using per-flow network features: data profiling, deduplication, skew-correction, outlier treatment, feature engineering, imbalance handling, and tree-based modeling (XGBoost, LightGBM, CatBoost, stacking), with a final Kaggle submission scoring 0.9146 public / 0.9163 private.

catboost cyber-security data-preprocessing ensemble-learning feature-engineering imbalanced-data jupyter-notebooks kaggle lightgbm machine-learning outlier-detection random-forest xgboost

ecosyste.ms

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Open Source Science

py-smote-variants • Rank 15.4 • Science 23%

sentetik • Science 44%

https://github.com/amr-yasser226/intrusion-detection-kaggle • Science 26%