SAS Predictive Modeling:04 – Neural Networks

Through this course you will learn about combination of regression model, combination – result of regression node, combination iteration plot, subseries plot, creating densemble diagram, sas code, decision tree model

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 2h 01m | 15 Videos | 63127 Views |   Intermediate| English[Auto-generated]

Predictive Modeling with SAS EM (Module #4) – Neural Networks:

The course helps you with a hand on analytics and to become an expertise in data handling and spss platform. You can learn the regression tool usage with details on regression table, result of the regression model and creating flow diagrams etc. With our course being an intensive course of predictive analytics we assure you complete guidance throughout the course.

Through this course you will learn about neural network model, neural network model output, model weight history, neural network – final weight, roc chart, neural network -iteration plot, neural network – sas code, neural network – cumulative lift, decision processing, results of auto neural node, run model comparison, dex – variable id’s, average square error, score rating overlay – event, run dmine regression node.

Target Customers:

• Students
• Students
• Students

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