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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https://doi.org/10.1007/978-981-13-2975-3hese are not the only methods available to us. Other methods have been developed, and their use has begun to become more widespread. The predictive analytics landscape has had significant growth as we see more opportunities to apply these techniques in new and interesting applications. Business prac

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Predictive Models Using Neural Networks, decision tree to show how to describe a neural network. Finally, multiple neural networks will be applied to the automobile insurance data set to determine which neural network provides the best-fit model.

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Textbook 20191st editiongnette that provides real-life example of how business analytics have been used in various aspects of organizations to solve issue or improve their results. A running case provides an example of a how to build and analyze a complex analytics model and utilize it to predict future outcomes..

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The Experiences of Pupils Educated Otherwiseries 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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https://doi.org/10.1057/9780230277335epwise) and examination of model coefficients are also discussed. The chapter also provides instruction on implementing regression analysis using SAS Enterprise Miner™ with a focus on evaluation of the output results.

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