Business Intelligentization Using
Machine Learning and Rapidminer

Dates: 1 Nov, 3 Nov 2023 | 9am-5.30pm | Online

Duration: 2 Days

Course Overview

Machine Learning (ML) operates on the basis of algorithms that enable computers to learn, mostly from data. ML algorithms attempt to be trained directly by data samples without relying vastly on a predetermined design and coding. ML systems can also adapt to the new situation and enhance their performance over time. The course will introduce some of the algorithms in the field of ML, such as neural networks, deep learning, support vector machines, K nearest neighbours, and c-means clustering to name but a few. Rapidminer is a popular data mining and machine learning software platform that provides an integrated environment for the realization of almost all known machine learning algorithms, and is accessible to the public as a free desktop application. Organisations can leverage Rapidminer for many real-world ML applications including data preparation, results visualisation, model validation and optimisation.

This course is part of the Professional Certificate in Applied Machine Learning.

Course Objectives

At the end of this course, participants will be able to:

  • Understand a wide spectrum of Machine Learning (ML) algorithms, their parameters, and applications.
  • Know how to use Rapidminer to implement ML algorithms.
  • Understand how to develop machine learning models and how to evaluate them.
  • Represent the machine learning results using Rapidminer visualization facilities.

Who Should Attend

Machine Learning and Python developers.


Basic AI and Machine Learning knowledge

Course Convener

(Click photo to view biography)

ddddd Amirhassan Monajemi

Dr Amirhassan MonajemiDr Amirhassan Monajemi

Course Fees

Singapore Citizens
39 years old or younger
40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants

Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes

Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.

This course is eligible for Union Training Assistance Programme (UTAP). NTUC members can enjoy up to 50% funding (capped at $250 per year) under UTAP. NTUC members aged 40 and above can enjoy higher funding support up to $500 per individual each year, capped at 50% of unfunded course fees, for courses attended between 1 July 2020 to 31 December 2025. Please click here for more information.

To enquire, email

To register, click Register

Course Codes
TGS-2022011495 (Classroom Learning)
TGS-2022011576 (Synchronous e-learning)

Course Fee Breakdown

Singapore Citizens

Singapore Citizens

39 years old or younger

Singapore Citizen

40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants

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