Naive Bayes Classifier

Naive Bayes Algorithm is a probabilistic classifier that predicts the category of data points by applying Bayes' theorem, which calculates the likelihood of each class given the features. It operates under the assumption that features are independent, simplifying the computation despite the often complex real-world relationships. It's particularly efficient for large datasets and text classification tasks.