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Email Spam Detection with Machine Learning by fardin.ahosan.shawon.it is a document available to read on EtoBox.

This document presents a comparative analysis of various machine learning approaches for detecting email spam, highlighting their strengths and weaknesses. It discusses the significance of email communication and the challenges posed by spam, including the impact on storage and the risk of phishing. The paper evaluates different methodologies and their performance metrics, demonstrating the effectiveness of machine learning techniques in improving spam detection accuracy.

Author
fardin.ahosan.shawon.it
Language
EN