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Python in Google Collab: Interactive Practice Online

This workshop focuses on handling imbalanced data and applying ensemble learning techniques in Python within the Google Colab environment. Participants will learn practical strategies for addressing class imbalance, including resampling and weighting approaches, and will implement bagging and boosting methods to improve predictive performance. The session will culminate in the construction of a stacking model that integrates multiple base learners into a unified framework. Emphasis will be placed on hands on implementation, model evaluation, and best practices for working with imbalanced datasets in applied machine learning settings. By Viviana Madelaine Milla Angeles.

Date:: Friday, April 17, 2026
Time:: 11:00am - 12:00pm
Time Zone:: Eastern Time - US & Canada (change)
Online:: This is an online event. Event URL will be sent via registration email.
Categories:: Data: Analysis, Tools, & Methods