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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

GitHub repository

The GitHub repository contains Jupyter Notebooks that illustrate many of the concepts and models in more detail. The Notebooks are referenced throughout the book where used. Each chapter has its own directory with separate instructions where needed, as well as reference specific to the chapter's content.

Jupyter Notebooks is a great tool for creating reproducible computational narratives, and it enables users to create and share documents that combine live code with narrative text, mathematical equations, visualizations, interactive controls, and other rich output. It also provides building blocks for interactive computing with data, such as a file browser, terminals, and a text editor.

You can find the code files placed ...
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Publisher Resources

ISBN: 9781789346411Supplemental Content