Anomaly Detection

Introduction

Assumptions of Anomaly detection

Directions of anomaly detection

Reasons for the Outliers

Business use cases of Anomaly Detection

Univariate vs Multivariate Anomaly Detection

Most of the analysis that we end up doing is multivariate due to the complexity of the world we are living in. In multivariate anomaly detection, an outlier is a combined unusual score on at least two variables.

ML Algorithms for Anomaly Detection

Isolation Forest

Local Outlier Factor

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