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data-preprocessing-and-feature-engineering

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Enhance SOC efficiency with our machine learning model that predicts cybersecurity incident triage grades (TP, BP, FP) using the GUIDE dataset. Support SOC analysts with context-rich recommendations to strengthen enterprise security posture.

  • Updated Apr 27, 2025
  • Jupyter Notebook

Detecting fraudulent financial transactions using machine learning. Includes data preprocessing, EDA, model training - Logistic Regression and evaluation using precision, recall, and ROC-AUC to build an accurate fraud detection system.

  • Updated Aug 4, 2025
  • Jupyter Notebook

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