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).


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