End-to-end cybersecurity ML pipeline: unsupervised IP anomaly detection, CVE ransomware-risk scoring (XGBoost + TF-IDF + SHAP), and multi-label MITRE ATT&CK technique tagging — built on OTX, CISA KEV, and threat intel feeds.
pythonnlpmachine-learningscikit-learncybersecurityxgboostcvefeature-engineeringmulti-label-classificationtfidfthreat-intelligenceransonwareimbalanced-learningisolation-forestmitre-attackanamoly-detectionmlflowshapstreamlitcisa-kev
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Updated
Jul 2, 2026 - Python