Classifer for phishing email

Faten Ali S Almahwari


Supervised by Amir Javed; Moderated by Michael Daley

You will be required to analyse phishing email dataset and its attachment to build a supervise machine learning models to detect a phishing email based on email attributes (header values, presence of URL etc) and content based (sentiment, emotions, etc.) attributes. The project will help you understand the methods a hacker uses to create a phishing email and understand the content that is used to create a phishing email.

Final Report (05/11/2021) [Zip Archive]

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