UnSupervised Machine Learning (Classroom & Asynchronous)
Training Provider: Ngee Ann Polytechnic
Course Reference: TGS-2022013897
S$480
Original: S$1,600
Save S$1,120
About This Course
Learners will be able to:
1) Reduce the complexity of variables in a dataset through dimensionality reduction techniques
2) Design and apply unsupervised learning techniques to discover insights in a data set which includes:
- Discover relationships among variables
- Discover and define clusters of related data points
- Discover anomalies and outliers
3) Apply network analysis techniques for data points with complex relationships
What You'll Learn
This course covers the various types of unsupervised machine learning techniques that are used to discover insights in unlabelled dataset.
The course covers the following:
• K-means clustering
• Principal Component Analysis
• Association Rules
• Network Analysis
The course covers the following:
• K-means clustering
• Principal Component Analysis
• Association Rules
• Network Analysis
Entry Requirements
Intermediate programming experience
Intermediate statistics
Basic knowledge of data processing
Course Details
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