Naive Bayes is a collection of classification algorithms which are based on the so-called Bayes Theorem.
Widely used in Machine Learning, Naive Bayes has some crucial applications such as spam detection and document classification.
There are different Naive Bayes variations. The most popular of them are the Multinomial Naive Bayes, Bernoulli Naive Bayes, and Binarized Multinomial Naive Bayes.
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