Jump to Section

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

 

 

Certification

 

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

Course Schedule/Apply

Intake Info Application Closing Date Course Duration

Not Available

Not Available

2 days

(9 AM – 5 PM)

Register Interest

View the application guide here

Course Fees

Fee Type Item Course Fees
(w GST) 
Full Course Fee S$481.50
SG Citizens aged 39 & below / Permanent Residents S$144.45
SG Citizens aged 40 & above / SME-sponsored SG Citizens & Permanent Residents S$54.45

SkillsFuture Credit Approved. For more details, please click here

With effect from 1 Jul 2020, the Workforce Training Scheme (WTS) will be replaced by Work Support Scheme (WSS), for more information, please visit:
https://www.wsg.gov.sg/programmes-and-initiatives/workfare-skills-support-scheme-individuals.html

Lecturer/Trainer Profile

Course Contact

  • 67881212
  • 8.30am – 6.00pm (Mon – Thu)

    8.30am – 5.30pm (Fri)

    Closed on Sat, Sun & Public Holidays

    Due to Safe Management Measures, our office is currently closed.

    Please call or email us your enquiry.

    Thank you for your patience and understanding.

  • Website: https://www.tp.edu.sg/tsa
  • Temasek SkillsFuture Academy
    Temasek Polytechnic
    East Wing Block 1A,
    Level 3, Unit 81
    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.

Ask TP