Supervised Machine Learning (Classroom & Asynchronous)

Offered by School of InfoComm Technology

Short Course / 3 days / TGS-2022013898

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Course Information
Learning Outcomes
Course Schedule
Lesson Plan
Certification
Entry Requirements
Course Fees

Course Information

LEARNING THE RELATIONSHIP BETWEEN INPUT AND OUTPUT DATA

  • Perform feature selection for various predictive models
  • Develop and apply the various regression techniques to predict values
  • Develop and apply the various classification techniques to predict categories
  • Evaluate and select predictive models

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Learning Outcomes

  • Perform feature selection for various predictive models
  • Develop and apply the various regression techniques to predict values
  • Develop and apply the various classification techniques to predict categories
  • Evaluate and select predictive models

Course 
Schedule

Course Date: TBC
Application Period: TBC
Duration: 3 days
Time: 9am to 6pm
Delivery Mode: Classroom & Asynchronous)
Venue: TBC

Please take note that photos and videos may be taken during the course for record and publicity purposes.

Ngee Ann Polytechnic reserves the right to reschedule/cancel any programme, modify the fees and amend information without prior notice.

Lesson Plan

Course Outline
  • Regression Techniques such as Linear regression, multiple regression
  • Classification Techniques such as K-nearest neighbours, Support vector
    machines
  • Model performance and evaluation

Certification

In-class assessments.


A Certificate of Performance will be awarded to participants who achieve at least 75% attendance and pass all required assessment(s).


A Certificate of Participation will be awarded to participants who meet the 75% attendance requirement but did not pass all required assessment(s).

Entry Requirements

  • Applicants should be conversant with basic IT skills and have intermediate programming experience
  • Applicants should preferably have passed GCE ‘O’ Levels course of study

Course Fees

Funding period for this course is from 5 Jul 2021 to 30 Sep 2024.

SkillsFuture Credit
All Singaporeans aged 25 and above can use their $500 SkillsFuture Credit from the government to pay for a wide range of approved skills-related courses. Visit the SkillsFuture Credit website to choose from the courses available on the Training Exchange course directory.

Union Training Assistance Programme (UTAP)
NTUC members enjoy 50% unfunded course fee support for up to $250 each year (or up to $500 for NTUC members aged 40 years old and above) when you sign up for courses supported under UTAP (Union Training Assistance Programme). Please visit e2i’s website to find out more.

Enhanced training support for SMEs
For enhanced training support for SMEs, enter SME in the promo code during course application.

Long Term Visit Pass Plus (LTVP+) holders, please furnish the following documents to the course administrator to qualify for SSG funding:
Self-sponsored learner (**LTVP+): Copy of your green visit pass card, with the word ‘PLUS’ on the back of the card.
Co-sponsored learner (##LTVP+): Copy of valid and current Letter of Consent (LOC) from MOM

GST Increment in 2024
Please note that the GST rate will be revised to 9% with effect from 1 Jan 2024, as such any payable course fees will be subjected to the new GST rate adjustments in 2024.

Note:

  • The fees below are determined based on prevailing funding policies and subject to review and revision.
  • Please refer to our FAQs for more information.

Ngee Ann Polytechnic reserves the right to reschedule/cancel any programme, modify the fees and amend information without prior notice.

Applicants / Eligibility Fees
Full course fee$1728.00
Singaporeans aged below 40 qualified for SkillsFuture Funding $513.60
Singaporeans aged 40 & above qualified for SkillsFuture Mid-Career Enhanced Subsidy $193.60
Singaporeans qualified for Enhanced Training Support for SMEs $193.60
Singapore Permanent Residents & **LTVP+ qualified for SkillsFuture Funding $518.40
Singapore Permanent Residents & ##LTVP+ qualified for Enhanced Training Support for SMEs $198.40
Others (and Repeat Students)$1728.00