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1. Explaining Anomalies with Isolation Forest and SHAP

   This article explores the use of Isolation Forest for anomaly detection and how SHAP (KernelSHAP and TreeSHAP) can be applied to explain the anomalies detected, providing insights into which features contribute to anomaly scores.

   2024-09-30 Tags: isolation forest, shap, anomaly detection, explainability, data science by klotz
2. 7 Best Python Packages Kagglers Are Using Without Telling You | Towards Data Science

   2021-08-09 Tags: data science, data engineering, exploratory data analysis, shap, explainability, machine learning, jupyter, python, training, ensemble by klotz

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