KATTAMURI SARMA PDF

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Get fast, free shipping with Amazon Prime. Home Contact Us Help Free delivery worldwide. Shopbop Designer Fashion Brands. Develop predictive models quickly, learn how to test numerous models and compare the results, gain an in-depth understanding of predictive models and multivariate methods, and discover how to do in-depth analysis. Amazon Renewed Refurbished products with a warranty.

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Available katramuri download now. The Best Books of Using realistic data, the book explains complex methods in a simple and practical way to readers from different backgrounds and industries.

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Kattamuri Sarma

Author Kattamuri Sarma offers the theory behind, programming steps for, and examples of predictive modeling with SAS Enterprise Miner, along with exercises at the end of each chapter. Develop predictive models quickly, learn how to test numerous models and compare the results, gain an in-depth understanding of predictive models and multivariate methods, and discover how to do in-depth analysis. This book is part of the SAS Press program. The book demonstrates various methods using simple examples and shows how to apply them to real-world business data using SAS Enterprise Miner. It integrates theoretical explanations with the computations done by various SAS nodes. The examples include manual computations with simple examples as well computations done using SAS code with real data sets from different businesses.

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Get fast, free shipping with Amazon Prime. Home Contact Us Help Free delivery worldwide. Shopbop Designer Fashion Brands. Develop predictive models quickly, learn how to test numerous models and compare the results, gain an in-depth understanding of predictive models and multivariate methods, and discover how to do in-depth analysis. Amazon Renewed Refurbished products with a warranty. We use cookies to give you the best possible experience.

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Predictive Modeling with SAS Enterprise Miner, 3rd Edition

Start your free trial Book Description A step-by-step guide to predictive modeling! Using realistic data, the book explains complex methods in a simple and practical way to readers from different backgrounds and industries. Incorporating the latest version of Enterprise Miner, this third edition also expands the section on time series. Written for business analysts, data scientists, statisticians, students, predictive modelers, and data miners, this comprehensive text provides examples that will strengthen your understanding of the essential concepts and methods of predictive modeling. Topics covered include logistic regression, regression, decision trees, neural networks, variable clustering, observation clustering, data imputation, binning, data exploration, variable selection, variable transformation, and much more, including analysis of textual data. Develop predictive models quickly, learn how to test numerous models and compare the results, gain an in-depth understanding of predictive models and multivariate methods, and discover how to do in-depth analysis.

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