Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications. Kattamuri S. Sarma. from: N/A. Top of Page. My Account · Billing. A step-by-step guide to predictive modeling! Kattamuri Sarma’s Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business. Results 1 – 30 of 43 Predictive Modeling With SAS Enterprise Miner: Practical Solutions for Business Applications by Kattamuri S. Sarma and a great selection of.

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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. Amazon Inspire Digital Educational Resources. Amazon Music Stream millions of songs.

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Kattamuri S. Sarma (Author of Predictive Modeling with SAS Enterprise Miner)

Review quote “The book’s practical approach enables even the non mathematician to understand complex ideas such as principle component analysis and neural networks. Alexa Actionable Analytics for the Web. Book ratings by Goodreads. Amazon Drive Cloud storage from Amazon.

Learn more about Amazon Prime. Learn more at Author Central. AmazonGlobal Ship Orders Internationally. Low to High Price: Goodreads is the world’s largest site for readers with over 50 million reviews. Get fast, free shipping with Amazon Prime. Description A step-by-step guide to predictive modeling! Available for download now.

Only 3 left in stock more on the way. 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.


Practical Solutions for Business Applications Oct 12, Using realistic data, the book explains complex methods in a simple and practical way to readers from different backgrounds and industries. The Best Books of Help us improve our Author Pages by updating your bibliography and submitting a new or current image and biography.

Popularity Popularity Featured Price: 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.

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