Data Mining for Business Analytics: Concepts, Techniques and Applications in Python - KING OF EXCEL

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Friday, July 31, 2020

Data Mining for Business Analytics: Concepts, Techniques and Applications in Python

Book cover Data Mining for Business Analytics: Concepts, Techniques and Applications in Python

Data Mining for Business Analytics: Concepts, Techniques and Applications in Python

Galit ShmueliPeter C. BrucePeter GedeckNitin R. Patel
This book supplies insightful, detailed guidance on fundamental data mining techniques. The book guides readers through the use of Python software for developing predictive models and techniques in order to describe and find patterns in data. The authors use interesting, real-world examples to build a theoretical and practical understanding of key data mining methods, with a focus on analytics rather than programming. The book includes discussions of Python subroutines, allowing readers to work hands-on with the provided data. Throughout the book, applications of the discussed topics focus on the business problem as motivation and avoid unnecessary statistical theory. Topics covered include time series, text mining, and dimension reduction. Each chapter concludes with exercises that allow readers to expand their comprehension of the presented material. Over a dozen cases that require use of the different data mining techniques are introduced, and a related Web site features over two dozen data sets, exercise solutions, PowerPoint slides, and case solutions.
Categories:
Economy\\Mathematical Economics
Year:
2020
Publisher:
Wiley
Language:
english
Pages:
592
ISBN 10:
1119549841
ISBN 13:
9781119549840
File:
PDF, 7.20 MB
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