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Fundamentals of Supervised Machine Learning for Predictive Analytics Online

This workshop provides a comprehensive introduction to the fundamentals of supervised machine learning for predictive analytics. Participants will explore essential computational and statistical methods for analyzing large datasets, identifying meaningful patterns, and developing predictive models. The session covers core classification concepts, data processing techniques, machine learning model setup procedures, and validation strategies. Additionally, it offers an overview of various predictive models, including tree-based approaches, support vector machines, Bayesian classifiers, and ensemble methods such as bagging and boosting. By Qiwei He, Georgetown University.

Date:: Wednesday, November 12, 2025
Time:: 11:00am - 12:30pm
Time Zone:: Eastern Time - US & Canada (change)
Location:: Online/Virtual
Online:: This is an online event. Event URL will be sent via registration email.
Categories:: AI & Machine Learning