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kaiyoo / ML-Anomaly-Detection

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Detection of network traffic anomalies using unsupervised machine learning

machine-learning deep-learning clustering network-analysis unsupervised-learning anomalydetection clustering-algorithm anomaly-detection adversarial-learning unsupervised-machine-learning adversarial-machine-learning adversarial-samples fgsm adversarial-attacks iforest ocsvm fast-gradient-sign oneclasssvm security-analytics fast-gradient-sign-attack
  • Updated Jan 26, 2022
  • Jupyter Notebook

Francisco-AnayaPalacios / Engine-Anomaly-Detection-with-Unsupervised-Learning

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Unsupervised anomaly detection for marine diesel engine sensor data using statistical (IQR) and Machine Learning (One-Class SVM, Isolation Forest and PCA) tests, with engineering interpretation for predictive maintenance.

python engineering data-science machine-learning scikit-learn pca unsupervised-learning anomaly-detection isolation-forest predictive-maintenance one-class-svm ocsvm
  • Updated Jun 13, 2026
  • Jupyter Notebook

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