Evaluation of Traditional and Novel Feature Selection Approaches
Tuesday, March 10th, 2020: 6:30 PM to 8:30 PM
March 8, 2020,
Volume 264, Issue 1

General Provision Downtown

Selecting the optimal set of features is a key step in the ML modeling process. This talk will present research conducted that tested five approaches for feature selection. The approaches included current widely used methods, along with novel approaches for feature selection using open-source libraries, building a classification model using the Lending Club dataset.

Hosted by Aaron Richter From PyData Miami / Machine Learning Meetup

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