Titlebook: Applying Predictive Analytics; Finding Value in Dat Richard V. McCarthy,Mary M. McCarthy,Leila Halawi Textbook 20191st edition Springer Nat

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,Know Your Data—Data Preparation,ries of data followed by a review of the methods used for preparing the data. After a description of the data classifications and data preparation methods, the process will be reviewed step by step in SAS Enterprise Miner™ using the automobile insurance claim data set described in Appendix A.

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Model Comparisons and Scoring,re not aware that they need it yet. There is what often seems like an infinite amount of data available, and we are no longer constrained by computer processors that were incapable of performing the calculations needed to evaluate a model in a timely manner.

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d approach and focus on solving business problems using pred.This textbook presents a practical approach to predictive analytics for classroom learning. It focuses on using analytics to solve business problems and compares several different modeling techniques, all explained from examples using the

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Reconsidering What Schools Are For. This chapter focuses on a review of descriptive statistical analysis that is used to prepare and support predictive analytics. It reviews methods to ensure that the data is prepared for analysis as well as methods for combing or reducing variables to improve the results of predictive analytics.

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What Do Descriptive Statistics Tell Us,. This chapter focuses on a review of descriptive statistical analysis that is used to prepare and support predictive analytics. It reviews methods to ensure that the data is prepared for analysis as well as methods for combing or reducing variables to improve the results of predictive analytics.

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