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IBM SPSS Modeler review
Javier Segovia
Javier Segovia
Professor of Data Mining at Universidad Politecnica de Madrid
Useful visual programming, minimal configuration required, and overall powerful
The most valuable features of the IBM SPSS Modeler are visual programming, you don't have to write any code, and it is easy to use. 90 to 95 percent of the use cases, you don't have to fine-tune anything. If you want to do something deeper, for example, create a better neural network, then you have to go into the features and try to...

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