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Choosing the right model type for your data is a key part of successful predictive modeling. This session reviews the variety of modeling techniques available for predicting a categorical target variable. Use model comparison techniques to find the ideal type among logistic regression, decision tree, forest, and boosted models.
At the time of the event, please join the session HERE.
Recordings will be posted 1-2 business days following the event.
Please refer to the attachments of this event in the bottom right corner to download a calendar invite as well as data necessary for the session.