Supervised Machine Learning

Short Course / 3 days

Apply
Course Information
Learning Outcomes
Course Schedule
Lesson Plan
Trainer Profile
Certification
Entry Requirements
Course Fees
Apply
Contact us for more information

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

You may also join our interest mailing list for updates on future runs of this course or other similar courses.

Register Interest

Learning Outcomes

_x000D_

    _x000D_

  • Perform feature selection for various predictive models

    • _x000D_

  • Develop and apply the various regression techniques to predict values

    • _x000D_

  • Develop and apply the various classification techniques to predict categories

    • _x000D_

  • Evaluate and select predictive models

    • _x000D_

_x000D_

Course 
Schedule

Course Date: TBC_x000D_
Application Period: TBC_x000D_
Duration: 3 days_x000D_
Time: 9am to 6pm_x000D_
Ngee Ann Polytechnic reserves the right to reschedule/cancel any programme, modify the fees and amend information without prior notice.

Lesson Plan

This course consists of 1 modules:

Course Outline
    _x000D_

  • Regression Techniques such as Linear regression, multiple regression

    • _x000D_

  • Classification Techniques such as K-nearest neighbours, Support vector_x000D_
    machines

    • _x000D_

  • Model performance and evaluation

    • _x000D_

Trainer's Profile

Wei-Meng Lee

Wei-Meng Lee is a technologist and founder of Developer Learning Solutions, a company specializing in hands-on training on the latest technologies. Wei-Meng has many years of training experiences and his training courses place special emphasis on the learning-by-doing approach. His hands-on approach to learning programming makes understanding the subject much easier than reading books, tutorials, and documentations. His name regularly appears in online and print publications such as DevX.com, MobiForge.com, and CoDe Magazine

Certification

In-class assessments._x000D_


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

_x000D_



_x000D_


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 with any of the following qualifications are invited to apply for the course:
    _x000D_

  • Applicants should be conversant with basic IT skills and have intermediate programming experience

    • _x000D_

  • Applicants should preferably have passed GCE ‘O’ Levels course of study

    • _x000D_

Offered by School of InfoComm Technology

Course Fees

For Singaporeans and Permanent Residents who qualified for Enhanced Training Support for SMEs, enter SME in the promo code during course application.

_x000D_
Course fee is payable upon acceptance. It is inclusive of 7% GST and subject to review._x000D_
_x000D_
For more information on other subsidies, please click here. _x000D_

SkillsFuture Credit Funding Available. Terms and Conditions apply.

_x000D_

_x000D_

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

_x000D_

_x000D_

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

_x000D_

_x000D_

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$1712.00
For Singaporeans aged 40 & above / Singaporeans or PRs sponsored by SMEs* (After 90% SSG Funding Subsidy)$193.60
Singaporeans and PRs (After 70% SSG Funding Subsidy)$513.60