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Anomaly or novelty detection is a way to automatically identify discrepancies in any data such as financial, medical, or manufacturing data. We have seen different ways of training (fitting) and predicting such anomalies however, testing the model accuracy is important and missing step that I am going to cover in this video. Feel free to comment your questions and also take a look at the following references,
Code:
github.com/mes...
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