Spam Mail Detection Using Machine Learning | Perfect eLearning
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SOLVED:Detecting Spam Email (from the UCI Machine Learning Repository). A team at Hewlett-Packard collected data on a large number of email messages from their postmaster and personal email for the purpose of finding a classifier that can separate email messages that are spam vs. nonspam (a.k.a. "ham"). The spam concept is diverse: it includes advertisements for products or websites, "make money fast" schemes, chain letters, pomography, and so on. The definition used here is "unsolicited commerc
SOLVED:Detecting Spam Email (from the UCI Machine Learning R…
Feb 20, 2022
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