Machine Learning in Power BI using PyCaret - KDnuggets

Anomaly Detection is a machine learning technique used for identifying rare items, events, or observations by checking for rows in the table that differ significantly from the majority of the rows. Typically, the anomalous items will translate to some kind of problem such as bank fraud, a structural defect, medical problem or error. Some common business use cases for anomaly detection are: Fraud detection (credit cards, insurance, etc.) using financial data.