Workshop: Machine Learning with Orange II: More About Supervised Learning and Unsupervised Learning

Date: 17 Feb 2023 (Fri) & 24 Feb 2023 (Fri)

Time: 14:30 - 17:00

Venue: Online via MS Teams & On-site at Student Computer Centre M405

Target Audience: All Students

Medium of Instruction: English

Pre-requisite: N/A

Related Course Advisement: Machine Learning with Orange I: Supervised Learning

Course Description:

• Learn how to use the user-friendly data mining GUI tool – Orange
• Use datasets to classify data and predict outcomes. Also, you will discover groups of similar examples within the data by clustering with the help of machine learning models. Without a strong mathematics or programming background required.
• Learn machine learning with hands-on examples
• There are 2 lessons which focus on different aspects of machine learning
  
  

Course Outline:

Lesson 1 (17 Feb)

• K-means
• K-nearest neighbors (KNN)
• Random Forest

Lesson 2 (24 Feb)

• Apriori Algorithm
• Naïve Bayes