Course Details

Predictive Modeling Course Content :

1.) Predictive Modeling 

• business applications
• analytical challenges 

2.) Fitting the Model 

• parameter estimation
• adjustments for oversampling 

3.) Preparing the Input Variables

• missing values
• categorical inputs
• variable clustering
• variable screening
• subset selection 

4.)Classifier Performance 

• ROC curves and Lift charts
• optimal cutoffs
• K-S statistic
• c statistic
• profit
• evaluating a series of models