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Detecting spam messages using the naive Bayes algorithm of basic machine learning

Khamdamov Rustam KhamdamovichTashkent university of information technologies named after Muhammad al-Khwarazmi,Tashkent,UzbekistanHaydarov ElshodTashkent university of information technologies named after Muhammad al-Khwarazmi,Tashkent,Uzbekistan

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In this article, we consider the definition of spam messages using the naive Bayes algorithm based on machine learning and study the algorithm of inclusion. A table has been compiled for determining spam/non-spam by example and calculating using the naive Bayes algorithm based on machine learning.

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