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Predictive Analytics with SAS and R
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Predictive Analytics with SAS and R : Core Concepts, Tools, and Implementation

Book Details

Format Paperback / Softback
ISBN-10 886880904Y
ISBN-13 9798868809040
Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint APress
Country of Manufacture GB
Country of Publication GB
Publication Date Dec 12th, 2024
Print length 178 Pages
Product Classification: Artificial intelligence
Ksh 9,900.00
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Gain practical knowledge of application implementation using various programming approaches in predictive analytics. This book serves as a comprehensive guide for both beginners and professionals in the field of predictive analytics, offering core principles and practical insights without requiring an extensive mathematics or statistics background. The book starts with an introduction to analytics in decision making, protective analytics basics, and implementation in various industries. The book then takes you through types of regression, and simple linear regression in detail, followed by a demonstration of R Studio and SAS. Multiple Linear Regression is discussed next along with MLR model diagnostics. The book covers Multivariate Analysis and teaches you how to work with Principal Components Analysis, Factor Analysis, and much more. You also learn Time series Analysis with an understanding of Autoregressive Moving Average (ARMA) Models. After reading the book, you will be able to put predictive analytics principles into practice. What You Will LearnUnderstand modeling, estimating, and evaluating models for forecastingImplement Partial F-Test and Variable Selection MethodDemonstrate each analysis model in R Studio and SASUnderstand SLR and MLR Analysis modelsWho This Book Is ForStudents and professionals in the field of data analysis and intelligence applications

Gain practical knowledge of application implementation using various programming approaches in predictive analytics. This book serves as a comprehensive guide for both beginners and professionals in the field of predictive analytics, offering core principles and practical insights without requiring an extensive mathematics or statistics background.

The book starts with an introduction to analytics in decision making, protective analytics basics, and implementation in various industries. The book then takes you through types of regression, and simple linear regression in detail, followed by a demonstration of R Studio and SAS. Multiple Linear Regression is discussed next along with MLR model diagnostics. The book covers Multivariate Analysis and teaches you how to work with Principal Components Analysis, Factor Analysis, and much more. You also learn Time series Analysis with an understanding of Autoregressive Moving Average (ARMA) Models.

After reading the book, you will be able to put predictive analytics principles into practice.

What You Will Learn

  • Understand modeling, estimating, and evaluating models for forecasting
  • Implement Partial F-Test and Variable Selection Method
  • Demonstrate each analysis model in R Studio and SAS
  • Understand SLR and MLR Analysis models

Who This Book Is For

Students and professionals in the field of data analysis and intelligence applications


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