Anomaly & Fraud Detection Notebook
An end-to-end anomaly detection notebook covering feature engineering, class imbalance, isolation forests, gradient boosting and threshold tuning for real operational review queues.
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An end-to-end anomaly detection notebook covering feature engineering, class imbalance, isolation forests, gradient boosting and threshold tuning for real operational review queues.
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Single-user licence for personal or internal commercial use. Redistribution or resale of the files is not permitted.
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