Naive Bayes: A Probabilistic Classifier Built on Bayes’ Theorem
SMRTR summary
Naive Bayes is a machine learning classifier built on Bayes' Theorem that calculates the probability of something belonging to a category based on its features. By assuming all features are independent, it simplifies complex calculations into fast, accurate predictions — making it ideal for spam detection, sentiment analysis, and medical diagnosis.
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