NICF - Basic Machine Learning with Scikit-Learn Course | WSQ Courses

Originally published at: NICF – Basic Machine Learning with Scikit-Learn Course | WSQ Courses – WSQ courses | SkillsFuture Courses

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.

Learning Outcomes:

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

  • understand and apply machine learning concepts
  • understand and apply classification methods
  • understand and apply regression methods
  • understand and apply clustering methods
  • understand and apply PCA methods

Course Brochure

Download NICF – Basic Machine Learning with Scikit-Learn Course Brochure

Skills Framework

This course follows the guideline of Analytics and Computational Modelling ICT-DIT-3001-1.1 TSC under ICT Skills Framework

Certification

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

  • A SkillsFuture WSQ Statement of Attainment (SOA) issued by WSG. Typically will take 3-4 weeks.
  • Certification of Achievement issued by Tertiary Infotech Pte Ltd issued after the class.

WSQ Funding

WSQ funding is only applicable to Singaporeans and PR. Subject to eligibility, the funding support is subjected to funding caps.

Effective from 1 Jan 2022
Full Fee GST Nett Fee after Funding (Incl. GST)
Normal MCES / SME
$688 $48.16 $392.16 $254.56

Normal: Singaporean/PR age 21 and above
MCES: Singaporean age 40 and above

Effective for courses starting from 1 Jan 2023
Full Fee GST Nett Fee after Funding (Incl. GST)
Normal MCES / SME
$688 $55.04 $399.04 $261.44

Normal: Singaporean/PR age 21 and above
MCES: Singaporean age 40 and above

WSQ TG Application Form

Eligible individuals and company can apply for WSQ TG. Please login to Skilleto and fill in the required details for grant application. Please click here to submit for WSQ TG

Please do not pay upfront. We will advise you on the eligibility and nett fee after registration. Company sponsored staff are eligible for Absentee Payroll.


After the WSQ subsidy, you can offset the nett fee by the following :

SkillsFuture Enterprise Credit (SFEC)

Eligible Singapore-registered companies can tap on $10000 SFEC to cover out-of-pocket expenses.Click here to submit SkillsFuture Enterprise Credit

SkillsFuture Credit

Eligible Singapore Citizens can use their SkillsFuture Credit to offset course fee payable after funding. Click here for SkillsFuture Credit submission

UTAP

Eligible NTUC members can apply for 50% of the unfunded fee from UTAP, capped at $250 per year. Click here to submit UTAP

PSEA

Eligible Singapore Citizens can use their PSEA funds to offset course fee payable after funding. Click here for ad-hoc PSEA application form.

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Courses are provided by tertiarycourses.com.sg