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Scikit Learn 1.0: New Features in Python Machine Learning Library

Written by @davisdavid | Published on 2021/11/6

TL;DR
The 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.

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Written by
@davisdavid
Data Scientist | AI Practitioner | Software Developer| Technical Writer | ML Course Author @EducativeInc

Topics and
tags
scikit-learn|machine-learning|blogging-fellowship|data-science|feature-engineering|artificial-intelligence|python|hackernoon-top-story
This story on HackerNoon has a decentralized backup on Sia.
Transaction ID: 58v9hMe1rN04H-eRH544wCgeUKbwJOOpUVYrVftiSIw