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Machine Learning Classification Bootcamp in Python

Apply logistic/SVM/KNN/tree/Naive Bayes models to targeted Facebook-ad response and Amazon Alexa review sentiment alongside healthcare/spam/other classification examples

Prof. Ryan Ahmed, PhD, MBA , SuperDataScience Team , Ligency ​ · Udemy

Inside the course

What you’ll cover

Apply logistic/SVM/KNN/tree/Naive Bayes models to targeted Facebook-ad response and Amazon Alexa review sentiment alongside healthcare/spam/other classification examples

Audience and starting point

Selected published requirements: “Basic knowledge of Python Programming”. “Experienced computer user”. See the provider page for the full requirements and current tool terms

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: Choose an audience and channel; make A short posting plan; check Relevance, claims and a useful test.
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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