Updated 10 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

Updated 10 months ago

swansf-datapreprocessing-sampling-notebooks • Science 57%

These notebooks provide a comprehensive workflow, from start to finish, for processing and analyzing the SWAN-SF dataset. They include detailed steps for reading the dataset files, performing full preprocessing, and executing classification.

Updated 10 months ago

https://github.com/amr-yasser226/machine-learning-for-network-intrusion-detection • Science 26%

A complete pipeline for network intrusion detection comparing label encoding and one‑hot encoding, with SMOTE resampling, feature selection, and ensemble modeling using scikit‑learn and XGBoost, also this was phase one of our University's "CSAI 253- Machine Learning" course.