You're reading from Machine Learning with scikit-learn Quick Start Guide

Product typeBook

Published inOct 2018

Reading LevelIntermediate

PublisherPackt

ISBN-139781789343700

Edition1st Edition

Languages

Python

Tools

Scikit-learn

Concepts

Machine Learning

Author (1)

Kevin Jolly

What is scikit-learn?

Scikit-learn is a free and open source software that helps you tackle supervised and unsupervised machine learning problems. The software is built entirely in Python and utilizes some of the most popular libraries that Python has to offer, namely NumPy and SciPy.

The main reason why scikit-learn is very popular stems from the fact that most of the world's most popular machine learning algorithms can be implemented quite quickly in a plug and play format once you know what the core pipeline is like. Another reason is that popular algorithms for classification such as logistic regression and support vector machines are written in Cython. Cython is used to give these algorithms C-like performance and thus makes the use of scikit-learn quite efficient in the process.

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Machine Learning with scikit-learn Quick Start Guide

Published in: Oct 2018Publisher: PacktISBN-13: 9781789343700

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Author (1)

Kevin Jolly

Kevin Jolly is a formally educated data scientist with a master's degree in data science from the prestigious King's College London. Kevin works as a statistical analyst with a digital healthcare start-up, Connido Limited, in London, where he is primarily involved in leading the data science projects that the company undertakes. He has built machine learning pipelines for small and big data, with a focus on scaling such pipelines into production for the products that the company has built. Kevin is also the author of a book titled Hands-On Data Visualization with Bokeh, published by Packt. He is the editor-in-chief of Linear, a weekly online publication on data science software and products.
Read more about Kevin Jolly

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