Anomaly Detection

Anomaly detection can be performed using both supervised and unsupervised machine learning methods.

Anomaly detection involves identifying rare items, events, or observations that differ significantly from the majority of the data. It's widely used in various applications, such as fraud detection, network security, fault detection in industrial systems, and more.