DATA MINING FOR BUSINESS ANALYTICS, (AN INDIAN ADAPTATION): CONCEPTS, TECHNIQUES AND APPLICATIONS IN PYTHON

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Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using python software for illustration. Readers will learn how to implement a variety of popular data mining algorithms in Python to tackle business problems and opportunities. It is a comprehensive resource for students pursuing courses in data mining, business analytics, and related courses within the domain of AI.

Galit Shmueli, PhD, is Distinguished Professor at National Tsing Hua University's Institute of Service Science. She has designed and instructed data mining courses since 2004 at University of Maryland, Statistics.com, Indian School of Business, and National Tsing Hua University, Taiwan. Peter C. Bruce is President and Founder of the Institute for Statistics Education at Statistics.com. He has written multiple journal articles and is the developer of Resampling Stats software. Peter Gedeck PHD, is a Senior Data Scientist at Collaborative Drug Discovery, where he helps develop cloud-based software to manage the huge amount of data involved in the drug discovery process. He also teaches data mining at Statistics.com. Nitin R. Patel, PhD, is Chairman and cofounder of Cytel, Inc., based in Cambridge, Massachusetts. A Fellow of the American Statistical Association, Dr. Patel has also served as a Visiting Professor at the Massachusetts Institute of Technology and at Harvard University. O.P. Wali is a Professor (IT and KM Discipline) and Head (Research) at Indian Institute of Foreign Trade, New Delhi. He has more than 33 years of experience in corporate and academics. Prior to IIFT, he worked with Mother Dairy F & V Project, Delhi, a unit of National Dairy Development Board, India(NDDB) and Indira Gandhi National Open University, India (IGNOU).

Galit Shmueli; Peter C. Bruce; Peter Gedeck; Nitin R. Patel; O.P. Wali

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