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Data Science : Master Machine Learning Without Coding

Use a no-code classification model and forward feature selection to analyze age, geography and traffic-source predictors and derive marketing actions within a broader RapidMiner ML course

Ram Prasad · Udemy

Inside the course

What you’ll cover

Use a no-code classification model and forward feature selection to analyze age, geography and traffic-source predictors and derive marketing actions within a broader RapidMiner ML course

Audience and starting point

Selected published requirements: “Able to use a Windows computer and install software on it”. See the provider page for the full requirements and current tool terms

Practice and assessment

Practice: The outline lists knowledge checks on classification and clustering

Access and subscriptions

Recorded Udemy course advertised with a public course preview. Exact lesson count may be unknown. Purchase or organization-subscription terms and current availability require checking

Learning decision: Map a recurring marketing task; make A small test workflow; check Data access, failure handling and human checks.
An original example for comparing learning plans. Ask whether the course teaches this task, includes practice and offers feedback; the diagram does not describe a provider’s course.

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Related tasks, tools and formats. Check the differences before choosing.

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