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Instructor-led Classroom Adult Training in Singapore - Modular Fast Track Skill-Based Trainings

NICF – Basic Machine Learning with Scikit-Learn Course

In Services 4.0, businesses will need to meet changing customer needs quickly, innovate and create new value in order to differentiate themselves from competitors beyond price. Emerging technologies will make it possible for businesses to automate repetitive tasks and achieve higher productivity. AI and Machine Learning are listed as one of key technologies for Services 4.0 vision.

Scikit-Learn is the de facto Machine Learning package for Python. It consists of many useful machine learning algorithms such as classification, regression, clustering and dimension reduction. Learners can apply these algorithms to supervised and unsupervised machine learning tasks.

Scikit-Learn is also widely used in the Machine Learning community. Acquiring the knowledge and competency in using Scikit-Learn are essential for professional working in  data analytics and artificial intelligence sectors.

This 2-day WSQ Machine Learning with Scikit Learn Basic Course aims to equip learners with practical Machine Learning knowledge using an easy-to-use and popular Sckit-Learn package.

Course Learning Outcomes

After the end of this WSQ Machine Learning course, participants will be able to :

  • LO1 –  understand and apply machine learning concepts

  • LO2 –  understand and apply classification methods
  • LO3 – understand and apply regression methods
  • LO4 – understand and apply clustering methods
  • LO5 – understand and apply PCA methods


Two certificates will be awarded to trainees who have demonstrated competency in the WSQ Machine Learning with Scikit-Learn assessment and achieved at least 75% attendance.

  • A SkillsFuture WSQ Statement of Attainment (SOA) – ICT-DIT-3001-1.1 Analytics and Computational Modelling under the National Infocomm Competency Framework (NICF) issued by WSG
  • Certification of Completion issued by Tertiary Infotech Pte Ltd 

WSQ 80%-95% Funding

WSQ funding is only applicable to Singaporeans and PR. Subject to eligibility, the funding support is from 80% -95% subject to funding caps.

Full Fee GST Nett Fee after Funding (Incl. GST)
$688 $48.16 $496.16 $116.96 $82.56

Normal: Singaporean/PR age 21 and above
MCES: Singaporean age 40 and above
WTS: Singaporean age 35 and above and earning  $2,000 or below per month

SkillsFuture Credit

For the unfunded portion, Singaporeans can use your SkillsFuture Credit to pay. Click here for SkillsFuture Credit submission

WSQ Eligibility

Please fill up the WSQ Trainee Eligibility Form after you have registered for this course

Please do not pay up front. We will advise you on the eligibility and nett fee after registration

Course Code: CRS-Q-0039896-ICT

Course Booking

$688.00 (GST-exclusive)

Course Date

Course Time

* Required Fields

Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.

Course Details

Day 1

Topic 1 Overview of Machine Learning and Scikit Learn

  • Introduction to Machine Learning
  • Supervised vs Unsupervised Learnings
  • Machine Learning Applications and Case Studies
  • What is Scikit Learn
  • Installing Scikit-Learn

Topic 2 Classification

  • What is Classification
  • Applications of Classification
  • Classification Algorithms
  • Classification Workflow
  • Confusion Matrix
  • Classification Performance Evaluation

Topic 3 Regression

  • What is Regression
  • Applications of Regression
  • Regression Algorithms
  • Regression Workflow
  • Regression Performance Evaluation

Day 2

Topic 4 Clustering

  • What is Clustering
  • Applications of Clustering
  • Clustering Algorithms
  • Clustering Workflow
  • Clustering Performance Evaluation

Topic 5 Principal Component Analysis

  • Introduction to Principal Component Analysis (PCA)
  • Application of PCA
  • PCA Workflow

Final Assessment

  • Written Assessment (MCQ)
  • Practical Performance
  • Oral Questioning

Course Admin


The learner must meet the minimum requirement below :

  • At least O levels and above education
  • Read, write, speak and understand English

Mode of Training

Instructor Classroom Training

WSQ Funding Validity Period

15 Oct 2019 - 15 Sep 2021

WSQ Course Fee Funding

Self-Sponsored - Click here for more info

Employer-Sponsored - Click here for more info

Who Should Attend

  • Data Analyst
  • Programmers
  • IT Engineers
  • Data Scientist


Python WSQ TrainerDr. Alfred Ang is the founder of Tertiary Courses. He is a serial entrepreneur. He founded OSWeb2Design Singapore Pte Ltd in 2007 offering web development, e-commerce store development, graphics design, ebook publishing, mobile apps development, and digital marketing services. He established the first online gardening store in Singapore, Eco City Hydroponics Pte Ltd in 2000, offering a wide range of gardening products such as seeds, plant nutrients, hydroponics kits etc. Eco City Hydroponics has become the most popular and successful gardening store in Singapore. He founded Tertiary Infotech Pte Ltd in 2012 and transformed the business to a training platform, Tertiary Courses in 2014. Tertiary Courses offers a wide range of SkillsFuture courses for PMETs to upgrade their skills and knowledge. He also established Tertiary Courses Malaysia in 2016. He also founded Tertiary Robotics in 2015 offering Arduino, Raspberry Pi, Microbit and Robotics products

Dr. Alfred Ang earned his Ph.D. from National University of Singapore in 2000, majoring in Electrical and Electronics Engineering. He also completed an online MBA course with U21 Global based in Australia. He obtained his B.Sc (Hons) from National University of Singapore in 1992, majoring in Physics. He topped his Physics cohort for 3 consecutive years and funded his degree study with Book price, awards and tuition. He has worked in Defence, Electronics and Semiconductor Industries. His current interests include Machine Learning, Deep Learning, Artificial Intelligence, Internet of Things, Robotics and Programming.

Dr. Alfred Ang is a ACTA certified trainer. He was Distinguished Toastmasters (DTM) and Senior Member of IEEE. He has published more than 20 peer reviewed papers and co-inventors for more than 20 inventions.

Python WSQ TrainerWee Chee Hong is a ACTA certified trainer. He is a veteran consultant in the field of Engineering Design. He has over 20 years experience in electronics/ IT industry with several MNCs including Compaq, Adaptec, Agilent, etc., with specialization in Automation System Design (drilling/ milling machine, 3D machine automation, machine data collection, test & measurement electronics design), Motion control design & applications. With wide technical skill set in development language/ tools .Net, Java, PowerBuilder to C++/ C/C#, he has also strong knowledge in development of firmware for microcontroller such as PIC, ARM and others.

Chee Hong graduated with a B.Eng degree in Electrical Electronics Engineering and holds a Master Degree of Technology from NUS.

Python WSQ TrainerKen Yuen is a ACTA certified trainer. He has more than 10 years of experience working as an instructor, Application Development Engineer, Technical Consultant and Project Manager. He is an MOE-Registered Instructor teaching STEM programs for past 3 years such as Arduino, Micro:bits and robotics to schools and libraries based on the smart nation initiative roadmap.

He completed his Diploma in Electronic Engineering at Singapore Polytechnic and graduated with Bachelor of Electrical and Electronics Engineering from Nanyang Technological University and certified PMP (Project Management Professional).

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