Classification in Machine Learning (May 2026)

This workshop will take place on Wednesday, 13th May 9:30-1:30pm AEST.

Classification is a core supervised learning technique used to categorise data into discrete classes. In this interactive 4-hour workshop, participants will explore key concepts in classification, including logistic regression, support vector machines (SVM), and neural networks. They will learn model evaluation techniques, such as precision-recall, ROC-AUC, and cross-validation. Through hands-on coding exercises in Python (Scikit-Learn, NumPy, Pandas, Matplotlib), attendees will build, interpret, and optimise classification models using real-world datasets. The workshop will also introduce strategies for handling imbalanced data and discuss model optimisation techniques. By the end of the session, participants will have practical skills to apply classification techniques to real-world predictive modelling tasks. No prior machine learning experience is required. However, basic Python and statistics knowledge are recommended.

FAQs

What should I bring into the event?

This is an online workshop, so you will need to provide your…