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

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

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 (a free and open-source software) to tackle business problems and opportunities. This 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: A 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 A new section on ethical issues in data mining Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions Data 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. “This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject.” —Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R 

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

[Download] Data Mining for Business Analytics: Concepts ~ Download the eBook Data Mining for Business Analytics: Concepts, Techniques and Applications in Python - Galit Shmueli in PDF or EPUB format and read it directly on your mobile phone, computer or any device.

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Data Mining for Business Analytics: Concepts, Techniques ~ 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 (a free and open-source software) to tackle business problems and opportunities.

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R Edition (2017) / Data Mining for Business Analytics ~ Datasets Download (R Edition) R Code for Chapter Examples. Practical Time Series Forecasting with R: A Hands-On Guide. is the ideal forecasting textbook for Business Analytics, MBA, Executive MBA, and Data Analytics programs:. Perfect balance of theory & practice

Data Mining for Business Analytics: Concepts, Techniques ~ Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and methods, using R software for illustration Readers will learn how to implement a variety of popular data mining algorithms in R (a free and open-source software) to tackle business problems and opportunities. This is the fifth version of this successful text .

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Data Mining for Business Analytics: Concepts, Techniques ~ Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies.Readers will work with all of the standard data mining methods using the Microsoft® Office Excel® add-in XLMiner® to develop predictive models and .

Data Mining for Business Analytics: Concepts, Techniques ~ Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner, Third Editionpresents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies. Readers will work with all of the standard data mining methods using the Microsoft Office Excel add-in XLMiner to develop predictive models and learn how to .

Data Mining for Business Analytics: Concepts, Techniques ~ Data Mining for Business Analytics: Concepts, Techniques and Applications in Python - Kindle edition by Shmueli, Galit, Bruce, Peter C., Gedeck, Peter, Patel, Nitin R.. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Data Mining for Business Analytics: Concepts, Techniques and Applications in Python.

Data Mining for Business Analytics: Concepts, Techniques ~ Data Mining for Business Analytics: Concepts, Techniques, and Applications in R - Kindle edition by Shmueli, Galit, Bruce, Peter C., Yahav, Inbal, Patel, Nitin R., Lichtendahl, Kenneth C.. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Data Mining for Business Analytics: Concepts, Techniques .

Data Mining for Business Analytics: Concepts, Techniques ~ Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro presents an applied and interactive approach to data mining. Featuring hands-on applications with JMP Pro, a statistical package from the SAS Institute, the bookuses engaging, real-world examples to build a theoretical and practical understanding of key data mining methods, especially predictive models for .

Data Analytics: Concepts, Techniques, and Applications ~ However, these diverse application domains give rise to new research challenges. In this context, the book provides a broad picture on the concepts, techniques, applications, and open research directions in this area. In addition, it serves as a single source of reference for acquiring the knowledge on emerging Big Data Analytics technologies.

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9781118729274: Data Mining for Business Analytics ~ Book Description John Wiley & Sons Inc, United States, 2016. Hardback. Condition: New. 3rd Edition. Language: English. Brand new Book. Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner(R), Third Edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies.

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