---
title: "Should you discretize features for Machine Learning?"
url: https://daily.dev/posts/should-you-discretize-features-for-machine-learning--ppx4eon6n
source_url: https://www.dataschool.io/discretization-for-machine-learning/
type: article
source: "Planet Python"
published: 2024-04-10T16:48:19.396Z
updated: 2024-05-09T08:39:06.345Z
tags: ["machine-learning", "scikit", "feature-engineering"]
reading_time: 2
upvotes: 2
comments: 0
language: en
---

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# Should you discretize features for Machine Learning?

**[Planet Python](https://daily.dev/sources/planetpython)** · 2 min read · 2 upvotes · 0 comments

## Summary

Learn about discretizing continuous features for Machine Learning and the recommendation not to use it unless it provides a meaningful benefit to the model.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.dataschool.io/discretization-for-machine-learning/>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#scikit](https://daily.dev/tags/scikit), [#feature-engineering](https://daily.dev/tags/feature-engineering)

[View this post on daily.dev](https://daily.dev/posts/should-you-discretize-features-for-machine-learning--ppx4eon6n)