Email Spam Detection Using Machine Learning

Email spam has become a major problem in the modern world as a result of the sharp rise in internet users. These emails are frequently used for unethical and illegal purposes, such as fraud and phishing. Through these emails, spammers disseminate dangerous links that have the potential to compromise and harm our systems. Spammers can pretend to be real people in their spam messages by creating phony email accounts and profiles with ease. They typically prey on those who are not aware of these frauds. Therefore, being able to spot phony spam emails is essential. The goal of this project is to use machine learning techniques to identify such spam. Several machine learning algorithms will be examined in this paper, applied to our datasets, and the best algorithm will be selected.