Scikit Learn 1.0: New Features in Python Machine Learning Library

Written by davisdavid | Published 2021/11/06
Tech Story Tags: scikit-learn | machine-learning | blogging-fellowship | data-science | feature-engineering | artificial-intelligence | python | hackernoon-top-story

TLDRThe scikit-learn is the most popular open-source and free python machine learning library for Data scientists and Machine learning practitioners. It contains a lot of efficient tools for machine learning and statistical modeling including classification, regression, clustering, and dimensionality reduction. In this article, I’m happy to share with you the top 5 new features presented in the new version of scikkit-learn (1.0) New Flexible Plotting API includes metrics.PrecisionRecallDisplay, metrics.DetCurveDisplay, and inspection.PartialDependenceDisplay. Pearson’s R Correlation Coefficient is a new feature in feature selection.via the TL;DR App
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Written by davisdavid | Data Scientist | AI Practitioner | Software Developer| Technical Writer | ML Course Author @EducativeInc
Published by HackerNoon on 2021/11/06
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