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Applied analytics through case studies using SAS and R: implementing predictive models and machine learning techniques

By: Gupta, Deepti.
Material type: materialTypeLabelBookPublisher: Boston Apress Media 2019Description: xx, 404 p.ISBN: 9781484240465.Subject(s): Business and econometrics - Industries | Business enterprises - Evaluation | Computers - Mathematical and​ statistical software | Maths for computer scientists | Business mathematics | Big dataDDC classification: 338.7 Summary: Examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning techniques using SAS and the R analytical language. This book is ideal for those who are well-versed in writing code and have a basic understanding of statistics, but have limited experience in implementing predictive models and machine learning techniques for analyzing real world data. The most challenging part of solving industrial business problems is the practical and hands-on knowledge of building and deploying advanced predictive models and machine learning algorithms. https://www.apress.com/in/book/9781484235249
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Slot 930 (0 Floor, East Wing) Non-fiction 338.7 G8A7 (Browse shelf) Not for Issue 199279

Table of contents

Data Analytics and Its Application in Various Industries
Gupta, Deepti

Banking Case Study
Gupta, Deepti

Retail Case Study
Gupta, Deepti

Telecommunication Case Study
Gupta, Deepti

Healthcare Case Study
Gupta, Deepti

Airline Case Study
Gupta, Deepti

FMCG Case Study
Gupta, Deepti

Examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning techniques using SAS and the R analytical language.
This book is ideal for those who are well-versed in writing code and have a basic understanding of statistics, but have limited experience in implementing predictive models and machine learning techniques for analyzing real world data. The most challenging part of solving industrial business problems is the practical and hands-on knowledge of building and deploying advanced predictive models and machine learning algorithms.

https://www.apress.com/in/book/9781484235249

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