---
title: "Discussion on \"How to Handle Outliers in Machine Learning:  Step-by-Step Guide\" | Hashnode"
description: "Discussion on \"How to Handle Outliers in Machine Learning:  Step-by-Step Guide\". Learn how to identify and handle outliers in machine learning using IQR and Z-score methods, with step-by-step Python examples"
url: "https://hashnode.com/posts/how-to-handle-outliers-in-machine-learning-step-by-step-guide/68cdd06a061d18effcff3699"
---

[Feed](https://hashnode.com/feed) /

Discussion

# [How to Handle Outliers in Machine Learning: Step-by-Step Guide](https://feature-scaling.hashnode.dev/how-to-handle-outliers-in-machine-learning-step-by-step-guide?utm_source=hashnode&utm_medium=feed)

Learn how to identify and handle outliers in machine learning using IQR and Z-score methods, with step-by-step Python examples

Sep 19, 2025 · 2 min read · feature-scaling.hashnode.dev  
Read the article

-   [#machine-learning](https://hashnode.com/tag/machine-learning)
-   [#outlierdetection](https://hashnode.com/tag/outlierdetection)
-   [#outliers](https://hashnode.com/tag/outliers)
-   [#z-scores](https://hashnode.com/tag/z-scores)
-   [#iqrmethod](https://hashnode.com/tag/iqrmethod)
-   [#handling-outliers](https://hashnode.com/tag/handling-outliers)

## Written by

[Zabreen Javed](https://hashnode.com/@Zabreen)

@Zabreen

  
[View profile](https://hashnode.com/@Zabreen)

Zabreen

I’m Zabreen Javed, a Bachelor’s student in Artificial Intelligence, passionate about turning raw data into meaningful insights and intelligent solutions. My journey spans from data preprocessing and visualization with NumPy, Pandas, and Seaborn to exploring ML algorithms and their real-world applications. I write about: Machine learning concepts simplified for beginners Practical tips on data cleaning, and model evaluation AI-driven problem-solving and innovative projects

## Responses

Markdown supported · ⌘↵ to post

No responses yet.