Naive Bayes Classifier

Name: Naive Bayes Classifier
Start: 2020-10-12T20:00:00+05:00
End: 2020-10-12T21:15:00+05:00

Sir Syed University Of Engineering And Technology

Naive Bayes classifiers are a collection of classification algorithms based on Bayes’ Theorem. It is not a single algorithm but a family of algorithms where all of them share a common principle, i.e. every pair of features being classified is independent of each other. To start with this tricky mystery, join the workshop to understand the core concepts & implement the Naive Bayes Classifier.

Oct 12, 2020, 3:00 – 4:15 PM

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Key Themes

Machine Learning

About this event

Workshop 12 | Machine Learning: Zero to Hero
Naive Bayes classifiers are a collection of classification algorithms based on Bayes’ Theorem. It is not a single algorithm but a family of algorithms where all of them share a common principle, i.e. every pair of features being classified is independent of each other. To start with this tricky mystery, join the workshop to understand the core concepts & implement the Naive Bayes Classifier. 