Building Spam Classification Using The Naive Bayes Algorithm

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An unsolicited email sent in the bulk is a spam email. We do not generally want spam emails, so spam classifiers throw them in spam folders. Naive Bayes classifiers are classifiers that are based on Bayes’ theorem, a theorem that gives the probability of an event based on prior knowledge of conditions related to the event. It can be used to build a naive but good enough spam classifier, and we will see its use using a Python machine learning library, Sklearn.