9781629602646-1629602647-Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications, Third Edition

Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications, Third Edition

ISBN-13: 9781629602646
ISBN-10: 1629602647
Edition: 3rd ed.
Author: Kattamuri S. Sarma PhD
Publication date: 2017
Publisher: SAS Institute
Format: Paperback 574 pages
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Book details

ISBN-13: 9781629602646
ISBN-10: 1629602647
Edition: 3rd ed.
Author: Kattamuri S. Sarma PhD
Publication date: 2017
Publisher: SAS Institute
Format: Paperback 574 pages

Summary

Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications, Third Edition (ISBN-13: 9781629602646 and ISBN-10: 1629602647), written by authors Kattamuri S. Sarma PhD, was published by SAS Institute in 2017. With an overall rating of 3.9 stars, it's a notable title among other Mathematical & Statistical (Software, Enterprise Applications) books. You can easily purchase or rent Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications, Third Edition (Paperback) from BooksRun, along with many other new and used Mathematical & Statistical books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $1.8.

Description

A step-by-step guide to predictive modeling!

Kattamuri Sarma's Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications, Third Edition, will show you how to develop and test predictive models quickly using SAS Enterprise Miner. 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. Do it all with Predictive Modeling with SAS Enterprise Miner!

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