SAS - Predictive Modeling with SAS Enterprise Miner

Are you interested in learning and hands on Predictive Modelling with SAS Enterprise Miner? Log on to our platform, register with us and learn and get expertise on predictive modelling. Educba brings to you an intensive training course online with 10 + hours of HD videos, with 56 + lectures and already enrolled students. The course curriculum and areas covered are hereby described. The data sets used and criteria with variables used are clearly explained. It is important to validate the entire model.

The curriculum includes the following topics under study .Your knowledge base will get enriched by us.

PM SAS EM INTRO

which covers the following course details:

• Introduction of SAS enterprise miner
• Selecting a SAS table
• Creating input data node
• Metadata advisor options
• Add more data sources
• Sample statistics
• Trial report
• Properties of cluster node
• Variable selection.

PM SAS EM VARIABLE SELECTION:

• Input variable
• Variables of r square
• Binary target variable
• Variable and effect summary
• Variable selection-variable ID’s
• Variable frequency table
• Variable uploading model comparison
• Run data partition node
• Variable selection
• Understanding transformation of variables
• Updating transformation of variables

3 SAS PM EM COMBINATION:

• Combination-result of regression
• Combination of iteration plot
• Subseries plot
• Creating ensemble diagram
• SAS code
• Decision tree model
• Run and update decision tree model
• Creating score node
• DT-Result of model comparison
• Leaf statistics and tree map
• Interactively trees window
• Result node data partition
• Building decision trees

SAS PM EM NEURAL NETWORK

• Neural network model output
• Model weight history
• Neural network
• ROC chart
• Neural network-SAS code
• Results of Auto neural node
• Run model comparison
• DEX-Variable ID’s
• Score rating overlay
• Runtime Dmine Regression node
• Average square error

SAS PM EM REGRESSION:

• Regression -table effect
• Result of regression model
• Update regression node
• Creating flow diagram

Steps to use Study Material

• Step 1 - eduCBA sends the redemption coupon along with the registration link.
• Step 2 - Student will register with his register email id and coupon
• Step 3 - Student receive the course access and password on his/her email id
• Step 4 - Login using your email id and password and start learning