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

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

In stock
$10.99
Format*
1
SAVE

Buy More Save More!

The more you buy, the more you save

5% OFFBuy 2 items
7% OFFBuy 3 items
10% OFFBuy 4 items
SKU:211684_6408046
Comes to you in 6-9 business days in most regions.
Final sale — returns are not accepted.
Data Mining for Business Analytics: Concepts, Techniques and Applications in Python

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

$10.99

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\nReaders 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.\nThis 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:\nA new co-author, Peter Gedeck, who brings both experience teaching business analytics courses using Python, and expertise in the application of machine learning methods to the drug-discovery process\nA new section on ethical issues in data mining\nUpdates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students\nMore than a dozen case studies demonstrating applications for the data mining techniques described\nEnd-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented\nA companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions\nData Mining for Business Analytics: Concepts, Techniques, and Applications in Python is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology.\nData Mining for Business Analytics: Concepts, Techniques and Applications in Python\nAuthor:\nGalit Shmueli, Peter C. Bruce, Peter Gedeck, Nitin R. Patel\nBy:\nWiley\nISBN10:\n1119549841\nISBN13:\n9781119549840

Product Details

TypeComputers & IT
SKU211684_6408046
Tagsebooks, textbooks, computers & it, Books > Computers & IT, Best Seller

You May Also Like

View all →