Machine Learning - Part of Post Diploma Certificate in Data Preparation & Modelling and Machine Learning (SDDA1)
Training Provider: Ngee Ann Polytechnic
Course Reference: TGS-2023040957
S$2,528
About This Course
This module introduces the fundamentals of Machine Learning (ML) and its applications. Learners will gain a comprehensive understanding of Machine Learning, augmented with relevant Statistics to provide essential context and background knowledge. Learners will gain exposure to both supervised and unsupervised learning models such as Linear & Logistic Regression, Decision Tree, K-means Clustering and more. Using leading software and associated libraries, learners will be able to implement and train Machine Learning models to address business challenges.
What You'll Learn
In this module, you will:
1. Understand the fundamentals of Machine Learning (ML) and its applications.
2. Gain essential statistical knowledge to support your ML learning.
3. Explore supervised and unsupervised learning models like Linear & Logistic Regression, Decision Trees, and K-means Clustering.
4. Implement and train ML models using leading software and libraries to solve business challenges.
1. Understand the fundamentals of Machine Learning (ML) and its applications.
2. Gain essential statistical knowledge to support your ML learning.
3. Explore supervised and unsupervised learning models like Linear & Logistic Regression, Decision Trees, and K-means Clustering.
4. Implement and train ML models using leading software and libraries to solve business challenges.
Entry Requirements
A recognized local Polytechnic Diploma or Degree in any discipline or at least one (1) year of relevant work experience.
Course Details
Back to All Courses
Note: To apply for this course, visit or contact the training provider directly.
More Courses from Ngee Ann Polytechnic
The AD Penetration Testing module provides a comprehensive exploration of vulnerabilities in network...
This is the core business analysis module of the programme, where learners develop the skills to tra...
The capstone module brings together all skills developed across Modules 1 to 4, challenging learners...