SAS Predictive Modeling:02 – Variables

Through this course you will learn about input variable, values of r-square, binary target variable, variable and effect summary, variable selection – variable id’s, variable frequency table, variable s – updating model comparison, run data partition node

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 1h 8m | 12 Videos | 63558 Views |   Intermediate| English[Auto-generated]

Predictive Modeling with SAS EM (Module #2) – Variables:

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 input variable, values of r-square, binary target variable, variable and effect summary, variable selection – variable id’s, variable frequency table, variable s – updating model comparison, run data partition node, variable selection – fit statistics, understanding transformation of variables, score ranking overlay res, update transformation of variables.

Target Customers:

• Students
• Students
• Students

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