machine-learning▌

Integrate FIRST's Exploit Prediction Scoring System (EPSS) API to prioritize vulnerability remediation based on real-world exploitation probability within 30 days.

Implement User and Entity Behavior Analytics using Elasticsearch/OpenSearch to build behavioral baselines, calculate anomaly scores, perform peer group analysis, and detect insider threat indicators such as data exfiltration, privilege abuse, and unauthorized access patterns.

This skill covers deploying anomaly detection systems for industrial control environments using machine learning models trained on OT network baselines, physics-based process models, and behavioral analysis of industrial protocol communications. It addresses building normal behavior profiles for SCADA polling patterns, detecting deviations in Modbus/DNP3/OPC UA traffic, identifying rogue devices, and correlating network anomalies with physical process data from historians.

Deploy AI and NLP-powered detection systems to identify business email compromise attacks by analyzing writing style, behavioral patterns, and contextual anomalies that evade traditional rule-based filters.

Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.

Comprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, and ML for Earth observation across 70+ topics with 500+ code examples in 8 programming languages.

Geniml is a Python package for building machine learning models on genomic interval data from BED files, enabling various genomic analyses.

Comprehensive toolkit for protein language models including ESM3 and ESM C for protein design and embeddings.

Aeon is a scikit-learn compatible Python toolkit for time series machine learning, providing algorithms for classification, regression, clustering, and more.