June 2016
Beginner to intermediate
284 pages
6h 22m
English
Content preview from Mastering Python Data AnalysisBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Scikit-learn
Scikit-learn is part of the SciPy Toolkits, which are packages that are affiliated with SciPy. More information on SciPy toolkits and a list of available ones can be found at https://www.scipy.org/scikits.html . The first release of Scikit-learn came in 2007, but the first publication presenting the package in 2011 was Machine Learning in Python, Pedregosa et al., JMLR 12, pp. 2825-2830, 2011. For a wealth of examples, documentation, and reading, see the Scikit-learn web page ( http://scikit-learn.org ). The package is well-maintained and the documentation is excellent and very extensive in coverage.
After this brief introduction, we do as we did in the previous chapters—we start a Jupyter Notebook and run the standard imports.
Now ...
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