Data Science Essentials in Python /

Go from messy, unstructured artifacts stored in SQL and NoSQL databases to a neat, well-organized dataset with this quick reference for the busy data scientist. Understand text mining, machine learning, and network analysis; process numeric data with the NumPy and Pandas modules; describe and analyz...

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Bibliographic Details
Main Author:	Zinoviev, Dmitry (Author)
Corporate Author:	Safari, an O'Reilly Media Company
Format:	eBook
Language:	English
Published:	Pragmatic Bookshelf, 2016.
Edition:	1st edition.
Subjects:	Electronic books.
Online Access:	Connect to this electronic resource

Description
Summary:	Go from messy, unstructured artifacts stored in SQL and NoSQL databases to a neat, well-organized dataset with this quick reference for the busy data scientist. Understand text mining, machine learning, and network analysis; process numeric data with the NumPy and Pandas modules; describe and analyze data using statistical and network-theoretical methods; and see actual examples of data analysis at work. This one-stop solution covers the essential data science you need in Python.
Item Description:	Electronic resource.
Physical Description:	1 online resource (200 pages)
Format:	Mode of access: World Wide Web.