Supervised Machine Learning (Classroom & Asynchronous)
Training Provider: Ngee Ann Polytechnic
Course Reference: TGS-2022013898
S$480
Original: S$1,600
Save S$1,120
About This Course
Participant will learn to:
• Perform feature selection for various predictive models
• Develop and apply the various regression techniques to predict values
• Develop and apply the various classification techniques to predict categories
• Evaluate and select predictive models
What You'll Learn
This course covers the various types of supervised machine learning techniques that are used to predict variables with continuous values or categories.
The course covers the following:
• Regression Techniques such as Linear regression, multiple regression
• Classification Techniques such as K-nearest neighbours, Support vector machines
• Model performance and evaluation
The course covers the following:
• Regression Techniques such as Linear regression, multiple regression
• Classification Techniques such as K-nearest neighbours, Support vector machines
• Model performance and evaluation
Entry Requirements
Intermediate programming experience
Intermediate statistics
Basic knowledge of data processing
Course Details
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Note: To apply for this course, visit or contact the training provider directly.
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