Scikit-Learn 0.24: Top 5 New Features

Written by davisdavid | Published 2021/05/20
Tech Story Tags: scikit-learn | data-science | machine-learning | artificial-intelligence | python-programming | machine-learning-tutorials | blogging-fellowship | hackernoon-top-story

TLDR The scikit-learn library 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 5 best new features in the latest version of the Scikit-Learn library. This version supports Python versions 3.6 to 3.9 years old. The new features include a new evaluation metric for a regression problem called Mean Absolute Percentage Error(MAPE) and a new method for feature selection.via the TL;DR App
no story
Written by davisdavid | Data Scientist | AI Practitioner | Software Developer| Technical Writer | ML Course Author @EducativeInc
Published by HackerNoon on 2021/05/20
ABOUTHow hackers start their afternoons. We publish tech stories and build publishing software.

READEntirely free library read by hundreds of millions to learn anything about any technology.

WRITEHackerNoon elevates quality technology writing far and wide across the interwebs.

PARTNERHackerNoon works directly with tech companies to place ads by content relevancy