Upcoming Workshops and Events
Code-free Predictive Modelling with Orange Data Mining Tool In-Person
Orange offers a visual, component-based interface for building predictive models. Users can easily create workflows using widgets for data preprocessing, model training, and evaluation. This workshop introduces core machine learning methods available in Orange, including algorithms like Random Forest, Logistic Regression, and Support Vector Machines (SVM), as well as ensemble techniques such as bagging, boosting, and stacking. Through a real-world business case, you will learn how to build robust predictive models using Orange’s comprehensive suite of tools without writing a single line of code.
- Date:
- Thursday, September 4, 2025
- Time:
- 4:00pm - 5:30pm
- Time Zone:
- China, Malaysia, Singapore (change)
- Presenter(s):
- Kam Tin Seong, Associate Professor of Information Systems (Practice), School of Computing and Information Systems
- Complexity:
- For All
- Recommended for:
- SMU Administrative Staff SMU Faculty SMU Postgraduates SMU Researchers SMU Undergraduates
- Categories:
- Data, Coding, and Computational Skills > Analysis & Visualisation Tools GRPD