[ITS Webinar] Machine Learning: Using user-friendly GUI tool without coding

This online course consists of 6 lessons covering Machine Learning (ML) concept. It will focus on using open source data mining software – Orange as an example on how data analytics can be conducted via intuitive User Interface (UI) with drag-and-drop but without coding knowledge required. Also, some practical examples and course work will be performed during the workshop.

With completion of this course, you are able to use Orange to perform your data analytics with basic ML Techniques. There is no pre-requisite on coding knowledge, students and staff are welcome to join.

Webinar Details

Date: 9, 11, 16, 23, 25 and 30 March 2021
Time: 14:30 – 17:00 (6 lessons in total and each lesson 2.5 hours)
Medium of Instruction: English

Course Outline:
(9 Mar) Lesson 1:
Introduction to Machine Learning
Data Mining and Workflow
ML Technique: Linear Regression

(11 Mar) Lesson 2:
ML Technique: Classification and Clustering

(16 Mar) Lesson 3:
ML Technique: Logistic Regression and Apriori Algorithm

(23 Mar) Lesson 4:
Use of ML Technique: Image Classification
ML Technique: Naïve Bayes Classifier

(25 Mar) Lesson 5:
Use of ML Technique: Text Mining

(30 Mar) Lesson 6:
Use of ML Technique: Time Series Forecasting
Real-world Example Using ML