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Hands-On Machine Learning for Algorithmic Trading
book

Hands-On Machine Learning for Algorithmic Trading

by Stefan Jansen
December 2018
Beginner to intermediate
684 pages
21h 9m
English
Packt Publishing
Content preview from Hands-On Machine Learning for Algorithmic Trading

From tokens to numbers – the document-term matrix

In this section, we first introduce how the BoW model converts text data into a numeric vector space representation that permits the comparison of documents using their distance. We then proceed to illustrate how to create a document-term matrix using the sklearn library.

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Publisher Resources

ISBN: 9781789346411Supplemental Content