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data-preprocessing-and-feature-engineering

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Manishdebnath99 / Fraud-Detection

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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.

exploratory-data-analysis pandas logistic-regression matplotlib scikitlearn-machine-learning streamlit-webapp model-selection-and-evaluation precision-recall-auc-f1-score data-preprocessing-and-feature-engineering
  • Updated Aug 4, 2025
  • Jupyter Notebook

Samuelson777 / Microsoft-Classifying-Cybersecurity-Incidents-with-Machine-Learning

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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.

model-evaluation-metrics data-preprocessing-and-feature-engineering machine-learning-classification-techniques cybersecurity-concepts-and-frameworks handling-imbalanced-datasets model-benchmarking-and-optimization
  • Updated Apr 27, 2025
  • Jupyter Notebook

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