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Research the thought behind and methods for predictive modeling using SAS Enterprise Miner.
Uncover methods to supply predictive fashions and put collectively presentation-high high quality graphics in doc time with Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Functions, Second Edition.
In case you’re a graduate scholar, researcher, or statistician taken with predictive modeling; a data mining expert who wants to review SAS Enterprise Miner; or a enterprise analyst wanting for an introduction to predictive modeling using SAS Enterprise Miner, you'll have the power to develop predictive fashions shortly and efficiently using the thought and examples launched on this book.
Author Kattamuri Sarma provides the thought behind, programming steps for, and examples of predictive modeling with SAS Enterprise Miner, alongside with exercises on the end of each chapter. You'll obtain an entire consciousness of how one can uncover choices for what you’re selling needs. This second model choices expanded protection of the SAS Enterprise Miner nodes, now collectively with File Import, Time Assortment, Variable Clustering, Cluster, Interactive Binning, Principal Parts, AutoNeural, DMNeural, Dmine Regression, Gradient Boosting, Ensemble, and Textual content material Mining.
Develop predictive fashions shortly, uncover methods to verify fairly a number of fashions and look at the outcomes, obtain an in-depth understanding of predictive fashions and multivariate methods, and uncover the easiest way to do in-depth analysis. Do it all with Predictive Modeling with SAS Enterprise Miner.
This book is part of the SAS Press program.
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