Automate Machine Learning Workflows with Pipelines in Python and scikit-learn

Last Updated on August 28, 2020

There are standard workflows in a machine learning project that can be automated.

In Python scikit-learn, Pipelines help to to clearly define and automate these workflows.

In this post you will discover Pipelines in scikit-learn and how you can automate common machine learning workflows.

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• Update Jan/2017: Updated to reflect changes to the scikit-learn API in version 0.18.
• Update March/2018: Added alternate link to download the dataset as the original appears to have been taken down.

Pipelines for Automating Machine Learning Workflows

There are standard workflows in applied machine learning. Standard because they overcome common problems like data leakage in your test harness.

Python scikit-learn provides a Pipeline utility to help automate machine learning workflows.

Pipelines work
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