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Course Overview

This course covers the fundamentals of machine learning principles and practices, with a practical focus. You will be introduced to the concept of Supervised and Unsupervised machine learning with the help of Python libraries such as scikit-learn and pandas. You will get to experience guided programming and hands-on practical sessions.

Entry Requirements

Participants should have an ICT related diploma or related work experience in the field of IT.

Who Should Attend

Individuals who are interested in learning about the basic concepts of Machine Learning and Deep Learning.

What You'll Learn

  • Introduction to Machine Learning
  • Supervised Machine Learning
  • Practical exercises on supervised learning using Python
  • Unsupervised Machine Learning
  • Practical exercises on unsupervised learning using Python
  • Fundamentals of Neural networks and Deep Learning





Participants who meet at least 75% of the required course attendance and attempt the assessment will be awarded the Certificate of Performance.

For more information on course fee / schedule, or to apply,

Lecturer/Trainer Profile

Course Contact

  • 67881212
  • Monday - Thursday: 8:30am - 6:00pm
    Friday: 8:30am - 5:30pm
    Closed during lunchtime, 12:00pm - 1:00pm
    and on weekends and public holidays.

  • https://www.tp.edu.sg/tsa
  • Temasek SkillsFuture Academy (TSA)
    Temasek Polytechnic
    East Wing, Block 1A, Level 3, Unit 109
    21 Tampines Ave 1
    Singapore 529757


  • Temasek Polytechnic reserves the right to alter the course, modify the scale of fee, amend any other information or cancel a course with low enrolment.