Paperback or Softback. Condition: New. Data Mining and Predictive Analytics for Business Decisions: A Case Study Approach 1.27. Book. Seller Inventory # BBS-9781683926757

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Data Mining And Predictive Analytics For Business Decisions: A Case Study Approach

Fortino, Andres

Published by Mercury Learning and Information, 2023

ISBN 10: 1683926757 ISBN 13: 9781683926757

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Data Mining and Predictive Analytics for Business Decisions: A Case Study Approach

Fortino, Andres

Published by Mercury Learning and Information, 2023

ISBN 10: 1683926757 ISBN 13: 9781683926757

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Data Mining And Predictive Analytics For Business Decisions: A Case Study Approach

Fortino, Andres

Published by Mercury Learning and Information, 2023

ISBN 10: 1683926757 ISBN 13: 9781683926757

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Data Mining and Predictive Analytics for Business Decisions (Paperback)

Andres Fortino

Published by Mercury Learning & Information, 2023

ISBN 10: 1683926757 ISBN 13: 9781683926757

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Paperback. Condition: new. Paperback. With many recent advances in data science, we have many more tools and techniques available for data analysts to extract information from data sets. This book will assist data analysts to move up from simple tools such as Excel for descriptive analytics to answer more sophisticated questions using machine learning. Most of the exercises use R and Python, but rather than focus on coding algorithms, the book employs interactive interfaces to these tools to perform the analysis. Using the CRISP-DM data mining standard, the early chapters cover conducting the preparatory steps in data mining: translating business information needs into framed analytical questions and data preparation. The Jamovi and the JASP interfaces are used with R and the Orange3 data mining interface with Python. Where appropriate, Voyant and other open-source programs are used for text analytics. The techniques covered in this book range from basic descriptive statistics, such as summarization and tabulation, to more sophisticated predictive techniques, such as linear and logistic regression, clustering, classification, and text analytics. Includes companion files with case study files, solution spreadsheets, data sets and charts, etc. from the book. Features: Covers basic descriptive statistics, such as summarization and tabulation, to more sophisticated predictive techniques, such as linear and logistic regression, clustering, classification, and text analyticsUses R, Python, Jamovi and JASP interfaces, and the Orange3 data mining interfaceIncludes companion files with the case study files from the book, solution spreadsheets, data sets, etc. With many recent advances in data science, we have many more tools and techniques available for data analysts to extract information from data sets. This book will assist data analysts to move up from simple tools such as Excel for descriptive analytics to answer more sophisticated questions using machine learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781683926757

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Data Mining and Predictive Analytics for Business Decisions

Andres Fortino

Published by Mercury Learning and Information, 2023

ISBN 10: 1683926757 ISBN 13: 9781683926757

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Data Mining and Predictive Analytics for Business Decisions

Andres Fortino

Published by Mercury Learning and Information, 2023

ISBN 10: 1683926757 ISBN 13: 9781683926757

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PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9781683926757

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