(eCornell) Clustering, Classification, and Machine Learning in R
Training Provider: GENASHTIM
Course Reference: TGS-2023038429
S$1,000
About This Course
The course focuses on using unsupervised machine learning to bring coherence to unstructured data. Specifically, you'll use different methods to generate clusters within your data set when no dependent variable is specified. Using supervised machine learning approaches, you'll build and evaluate models that allow you to classify your data and understand the marginal impacts of each attribute. And you'll gain experience with powerful tools in R that allow you to efficiently evaluate competing models to find the one that gives you the most accurate results. The course is provided by eCornell in partnership with Genashtim.
What You'll Learn
Create clusters for structured data with no specified dependent variable
Choose appropriate models and methods for classifying items in a set
Apply and compare many solution methods simultaneously
Choose appropriate models and methods for classifying items in a set
Apply and compare many solution methods simultaneously
Course Details
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.
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