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Wednesday, January 23 • 2:00pm - 5:00pm
Machine Learning Workflow in Python

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This workshop compares the performance of multiple machine learning classifiers over a high-dimensional dataset. It explores the techniques that help to improve the performance of classifiers through comparison, including cross-validation, parameter turning, ensemble methods, and feature selection. We will use Python 3, but the conceptual workflow can be applied to any programming language (e.g., R, Julia).

Speakers

Wednesday January 23, 2019 2:00pm - 5:00pm
Room S010 Tsai Auditorium