5 Anomaly Detection Algorithms every Data Scientist should know

Comparing anomaly detection algorithms for Outlier detection

Satyam Kumar
Towards Data Science
5 min readDec 13, 2021

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Image by PublicDomainPictures from Pixabay

A real-world dataset often contains anomalies or outlier data points. The cause of anomalies may be data corruption, experimental or human errors. The presence of anomalies may impact the performance of the model, hence to train a robust data science model…

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