<aside> 📖 Naive Bayes is a family of probabilistic algorithms based on Bayes' theorem, which describes the probability of an event based on prior knowledge of conditions related to the event. Despite its "naive" assumption of independence between features, Naive Bayes classifiers often perform well in practice and are widely used for text classification, spam filtering, and other tasks.

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Key Concepts

Types of Naive Bayes Classifiers

Pros and Cons