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

Summary

This chapter has given you a brief introduction into what machine learning is for those of you who are just beginning your journey into the world of machine learning. You have learned about how scikit-learn fits into the context of machine learning and how you can go about installing the necessary software.

Finally, you had a brief glimpse at all the algorithms that you will learn to implement as you progress through this book, as well as its associated applications in the real world.

In the next chapter, you will learn how to implement your first algorithm – the K-Nearest Neighbors algorithm!

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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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