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How to Streamline the Data Science Workflow with SciKit-Learn [Video]

November 19, 2016

12:45 pm

You can never learn too much. SciKit-Learn is an open source machine learning library for the Python programming language. By learning the ins and outs of pipelines and FeatureUnions it can help data scientists improve their workflow.

Isaac Laughlin, Data Science Instructor at Galvanize, presented at the Kaizen Data Conference on “SciKit-Learn: The Non-Modeling Parts”. You can follow along with this Github repository here.

Learn more about Galvanize here.

This article is courtesy of the Galvanize blog. Interested in entrepreneurship, web development, or data science? Interested in entrepreneurship, web development, or data science? Check out the Galvanize Newsletter, bringing you the best content from The Learning Community for Technology.

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Galvanize campuses are home to an eclectic mix of entrepreneurs, skilled programmers, expert data scientists, and men and women motivated to make an impact. As different and diverse as we all are, we’re united by common values. Interested in entrepreneurship, web development, or data science? Check out the Galvanized Newsletter, bringing you the best content from The Learning Community for Technology.

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