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Python Machine Learning Blueprints - Second Edition
book

Python Machine Learning Blueprints - Second Edition

by Alexander Combs, Saurabh Chhajed, Michael Roman
January 2019
Intermediate to advanced
378 pages
8h 27m
English
Packt Publishing
Content preview from Python Machine Learning Blueprints - Second Edition

The Jupyter Notebook

There are a number of libraries that will make the data inspection process easier. The first is Jupyter Notebook with IPython (http://ipython.org/). This is a fully-fledged, interactive computing environment, and it is ideal for data exploration. Unlike most development environments, Jupyter Notebook is a web-based frontend (to the IPython kernel) that is divided into individual code blocks or cells. Cells can be run individually or all at once, depending on the need. This allows the developer to run a scenario, see the output, then step back through the code, make adjustments, and see the resulting changes—all without leaving the notebook. Here is a sample interaction in the Jupyter Notebook:

Sample interaction in ...
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Publisher Resources

ISBN: 9781788994170