Machine Learning Application
Training Provider: NATIONAL UNIVERSITY OF SINGAPORE
Course Reference: TGS-2026063783
S$570
Original: S$1,900
Save S$1,330
About This Course
Learners will be trained to evaluate and apply machine learning concepts, algorithms, and techniques to real world problems. They will design and implement end to end machine learning workflows—from problem framing and data preparation to model training, evaluation, and iteration—to identify patterns, derive insights, and support data driven decision making using industry standard tools and libraries.
What You'll Learn
At the end of the course, participants will be able to:
• Evaluate and apply machine learning concepts, algorithms, and techniques to real-world datasets.
• Analyse patterns and derive insights from data to support business and operational decision making.
• Work with industry-standard machine learning tools and libraries to design and build machine learning application.
• Build and customise a predictive machine learning application for a real world use case (for example, real estate price prediction or customer churn).
This course is targeted at below job roles:
- Software developers looking to add practical Machine Learning capabilities to their existing projects
- Data analysts or Associate Data Engineer who want to move from dashboards and reports into predictive modelling
- Business Intelligence managers or solutions architects who need to understand how ML applications are designed, built, and evaluated in practice
- Professionals transitioning into Machine Learning-related roles
• Evaluate and apply machine learning concepts, algorithms, and techniques to real-world datasets.
• Analyse patterns and derive insights from data to support business and operational decision making.
• Work with industry-standard machine learning tools and libraries to design and build machine learning application.
• Build and customise a predictive machine learning application for a real world use case (for example, real estate price prediction or customer churn).
This course is targeted at below job roles:
- Software developers looking to add practical Machine Learning capabilities to their existing projects
- Data analysts or Associate Data Engineer who want to move from dashboards and reports into predictive modelling
- Business Intelligence managers or solutions architects who need to understand how ML applications are designed, built, and evaluated in practice
- Professionals transitioning into Machine Learning-related roles
Entry Requirements
Python and SQL experience, ready to move beyond data analysis and into the world of data engineering
Course Details
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