Data Mining For Business Analytics Concepts Techniques And Applications In Python(1st Edition)
Authors:
Galit Shmueli, Peter C. Bruce, Peter Gedeck, Nitin R. Patel
In Stock: 1 Left
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Solution Manual Includes
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$9.99
Book details
ISBN: 1119549841, 9781119549840
Book publisher: Wiley
Book Price $0 : Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python by Galit Shmueli, Peter C. Bruce, Peter Gedeck, and Nitin R. Patel offers a comprehensive exploration into the essential techniques of data mining and how these techniques can be harnessed for business applications using Python. This book is pivotal for those interested in leveraging data-driven decision-making within business contexts. It details critical methodologies such as classification, regression, clustering, and association rule mining. Key components are explored through Python, making use of packages like scikit-learn, pandas, and matplotlib, thus providing practical implementation skills. The book also includes a well-structured table of contents and numerous example problems where readers can find a solution manual and answer key to reinforce learning and understanding. Unlike fiction with central characters, the book focuses on key themes such as predictive modeling, data pre-processing, model evaluation, and visualization within businesses. The reception of this book in academic circles is positive, acknowledging the authors' proficient integration of Python programming with fundamental data mining techniques, making it ideal for both beginners and experienced practitioners. With analytical prowess, this book serves as an indispensable guide for anyone aiming to delve deeper into data-driven business strategies. A cheap but powerful educational tool, this resource assists learners in grasping difficult concepts through practical exercises.
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