Anomaly Detection in Python using [ pycaret ]( https - // www . linkedin ....

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Anomaly Detection in Python using [](
PyCaret’s Anomaly Detection Module is an unsupervised machine learning module that is used for identifying rare items, events or observations which raise suspicions by differing significantly from the majority of the data.
Typically, the anomalous items will translate to some kind of problem such as bank fraud, a structural defect, medical problems or errors .
Watch our 2 minute tutorial video to learn how to train and analyze anomaly detector in PyCaret.
To learn more about pycaret.anomaly : [
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