Data mining for business analytics : concepts, techniques and applications in Python / Galit Shmueli, Peter C. Bruce, Peter Gedeck, Nitin R. Patel

By:

Shmueli, Galit [author]

Contributor(s):

Material type: Text

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781119549840

Subject(s):

Summary: Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities. This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes

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Item type	Current library	Call number	Status	Date due	Barcode
General	ATU Dublin Road General Shelves	005.54 SHM (Browse shelf(Opens below))	Available		J156129

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Previous	005.54 RAV Collect combine and transform data using Power Query in Excel and Power BI /	005.54 SHM Data mining for business analytics : concepts, techniques, and applications in R /	005.54 SHM Data mining for business analytics : concepts, techniques, and applications in Microsoft Office Excel with XLMiner /	005.54 SHM Data mining for business analytics : concepts, techniques and applications in Python /	005.54 WER Microsoft Office 365 Excel 2019 /	005.54 WIN Microsoft Excel 2010 : data analysis and business modeling /	005.54 WIN Microsoft Excel 2019 : data analysis and business modeling /	Next

Includes bibliographic records and index

Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities. This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes

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