Etudiant : TAZARNI DOUAA

Filière : LF Sciences Mathématiques et Informatique

Encadrant : Pr. NFAOUI EL HABIB

Annèe : 2022

Résumé : Our project is titled: “Email Spam Detection Using Machine Learning Techniques”, it was performed and carried out as part of the graduation project to obtain our fundamental license diploma within the Computer Science Department of the Dhar Mahraz Faculty establishment in FEZ. Spam has been a problem for many years but it was only until recently that people started to realize how dangerous and threatening it was. That was the trigger that pushed people to try to understand more about the subject in order to be able to protect themselves from fraud. Currently, there are many famous spam detectors such as Google and Yahoo spam filters, so why we develop this project? Simply because the definition of spam or ham is very subjective, our methods are according to user habits, doesn’t have any standards to define spam or ham, as everyone can define their own spam or ham training set. In this research, we analyse email spam detection methods based on various combinations of datasets processing and machine learning techniques. The main functions of the application are: • Find datasets to work on (Email datasets). • Clean the data and make train and test data. • Apply various machine learning models. • Develop a Django based Web Application using all models. • Deploy it to an environment.