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Spam Classifier uses Naive Bayes models to classify emails as spam or not spam. It preprocesses email data from a CSV, trains models like MultinomialNB and BernoulliNB, and allows user input for real-time classification, outputting "SPAM" or "NOT_SPAM" based on the prediction.

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Spam-Classifier

Spam Classifier uses Naive Bayes models to classify emails as spam or not spam. It preprocesses email data from a CSV, trains models like MultinomialNB and BernoulliNB, and allows user input for real-time classification, outputting "SPAM" or "NOT_SPAM" based on the prediction.

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Spam Classifier uses Naive Bayes models to classify emails as spam or not spam. It preprocesses email data from a CSV, trains models like MultinomialNB and BernoulliNB, and allows user input for real-time classification, outputting "SPAM" or "NOT_SPAM" based on the prediction.

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