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Answer Posted / Deepak Chauhan
Naive Bayes is a probabilistic machine learning algorithm based on Bayes' theorem with an assumption of independence among predictors. It's widely used for classification problems, such as spam filtering or text categorization. The algorithm calculates the conditional probability of each class given a set of features to make predictions.
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