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Predictive Analytics Sas Core by Mangrulkar Ramchandra (8 results)
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Predictive Analytics With SAS and R : Core Concepts, Tools, and Implementation
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Predictive Analytics With SAS and R : Core Concepts, Tools, and Implementation
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Predictive Analytics with SAS and R: Core Concepts, Tools, and Implementation
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Add to basketTaschenbuch. Condition: Neu. Predictive Analytics with SAS and R | Core Concepts, Tools, and Implementation | Ramchandra S Mangrulkar (u. a.) | Taschenbuch | xvii | Englisch | 2025 | Apress | EAN 9798868809040 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 withPrincipal Components Analysis, Factor Analysis, and much more. You also learn Time series Analysis with an understanding ofAutoregressive Moving Average (ARMA) Models.After reading the book, you will be able to put predictive analytics principles into practice.What You Will LearnUnderstandmodeling, estimating, and evaluating models for forecastingImplementPartial F-Test and Variable Selection MethodDemonstrate each analysis model in R Studio and SASUnderstandSLR and MLR Analysis modelsWho This Book Is ForStudents and professionals in the field of data analysis and intelligence applications.
