Unsupervised Anomaly Detection in Python

A beginner’s guide

Edwin Tan
Towards Data Science
5 min readDec 13, 2021

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Photo by Mulyadi on Unsplash

What is anomaly detection?

Anomaly detection also known as outlier detection is the process of finding data points within a dataset that differs from the rest. Common applications of anomaly detection includes fraud detection in financial transactions, fault detection and predictive maintenance.

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