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A spam filter for SMS messages using the multinomial Naïve Bayes algorithm

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Conditional Probability

In this project, we build a spam filter for SMS messages using the multinomial Naïve Bayes algorithm. Our goal is to create a spam filter that classifies new messages with an accuracy greater than 80% — so we expect that more than 80% of the new messages will be classified correctly as spam or ham (non-spam).

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A spam filter for SMS messages using the multinomial Naïve Bayes algorithm

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