# ML Using SKLearn

**URL:** <https://community.sparkflows.ai/t/ml-using-sklearn/238>\
**Category:** Machine Learning\
**Created:** [December 30, 2025, 2:13pm UTC](https://community.sparkflows.ai/t/ml-using-sklearn/238 "2025-12-30T14:13:02Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Tarika](https://avatars.discourse-cdn.com/v4/letter/t/8491ac/32.png) [@Tarika](https://community.sparkflows.ai/u/Tarika)\
**Post date:** [December 30, 2025, 2:13pm UTC](https://community.sparkflows.ai/t/ml-using-sklearn/238/1 "2025-12-30T14:13:02Z")

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SKLearn, or better known as SciKit-Learn, is one of the most popular libraries for machine learning and data analytics tasks in Python. Sparkflows also leverages this powerful package to provide greater functionality for our users.

To learn more about SKLearn in Sparkflows and an example click here: [House Price — Sparkflows 3.0 documentation](https://docs.sparkflows.io/en/latest/tutorials/data-science/sklearn/houseprice-ridge-regression.html)