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Predictive Modeling with Logistic Regression using SAS

This course covers predictive modeling using SAS/STAT software with emphasis on the LOGISTIC procedure. This course also discusses selecting variables and interactions, recoding categorical variables based on the smooth weight of evidence, assessing models, treating missing values, and using efficiency techniques for massive data sets. You learn to use logistic regression to model an individual's behavior as a function of known inputs, create effect plots and odds ratio plots, handle missing data values, and tackle multicollinearity in your predictors. You also learn to assess model performance and compare models.

Status: Classification And Regression Tree (CART)
Status: Model Evaluation
IntermediateCourse17 hours

Featured reviews

SS

5.0Reviewed Apr 10, 2021

Great training sets of problems. Good guidance & teaching.

MC

5.0Reviewed Dec 30, 2022

Very completed and deep knowledge shared with very friendly ways, explained the knowledge very clearly. Also the practices help me to understand the knowledge better.

RM

5.0Reviewed Jun 14, 2021

Thank you so much to the instructor, Michael J Patetta for teaching this course!

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K
2.0
Reviewed Oct 27, 2022
Suhaimi Chan
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Reviewed Sep 29, 2021
Vipul Patki
5.0
Reviewed May 16, 2021
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Reviewed Jul 12, 2022
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Reviewed Dec 31, 2022
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Reviewed Jun 15, 2021
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5.0
Reviewed Apr 11, 2021
UmamaheswaraRao Putrevu
5.0
Reviewed Dec 27, 2022
NOEL ROJAS VILLATORO
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Reviewed Feb 4, 2022
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2.0
Reviewed Jan 28, 2021
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1.0
Reviewed Jan 12, 2021