ML0 - Courses - CeNCE

ML0 - Elementary Machine Learning

For signups and further details, please contact Ms. Irene Ong Hwei Nee.

The course follows a MOOC-style approach with the following components:

  • Lectures: Each lecture (including demo), up to 2 hours, is delivered via pre-recorded video.
  • Labs: 4 automated labs (integrated with Lectures 1–4) are hosted on Coursemology. In the Labs, you will be using Excel to prepare data and build machine learning models from scratch.
  • The format of the Final Exam will be Short MCQ Quiz + similar Lab Questions.
  • Students are expected to follow the given Learning Flow at their own pace to prepare themselves for the Final Exam.
  1. Excel Formula Basics (Optional)
  2. Introduction to Machine Learning
  3. Concept Learning
  4. Decision Trees
  5. K-Nearest Neighbors
  6. Summary and Future Study: Learning, Planning, and Reasoning in AI Systems