---
title: "Discussion on \"Outlier Detection and Treatment\" | Hashnode"
description: "Discussion on \"Outlier Detection and Treatment\". Outlier detection identifies data points that deviate significantly from the norm using statistical (Z-score, IQR), visual (box plots), or machine learning (Isolation Forest, LOF) methods"
url: "https://hashnode.com/posts/outlier-detection-and-treatment/6a70befd18d2546bcda8ce90"
---

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# [Outlier Detection and Treatment](https://outlierdetectionandtreatment.hashnode.dev/outlier-detection-and-treatment?utm_source=hashnode&utm_medium=feed)

Outlier detection identifies data points that deviate significantly from the norm using statistical (Z-score, IQR), visual (box plots), or machine learning (Isolation Forest, LOF) methods

Aug 3 · 6 min read · outlierdetectionandtreatment.hashnode.dev  
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-   [#outlier-detection](https://hashnode.com/tag/outlier-detection)
-   [#data-cleaning](https://hashnode.com/tag/data-cleaning)
-   [#data-preprocessing](https://hashnode.com/tag/data-preprocessing)
-   [#stastics](https://hashnode.com/tag/stastics)
-   [#machine-learning](https://hashnode.com/tag/machine-learning)
-   [#data-science](https://hashnode.com/tag/data-science)

## Written by

[Shreyash Kadam](https://hashnode.com/@shreyash7)

@shreyash7 · Kolhapur

  
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