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abdouensaj's Projects

data_d3.js icon data_d3.js

Data utilisé dans les exemples du rapport de stage

detecting-phishing-attack-using-ml-dl-models icon detecting-phishing-attack-using-ml-dl-models

Developed a model to detect Phished emails from legitimate ones using the Spam Assassin dataset. Extracted relevant features by processing the mails using the NLP toolkit. Built various ML models like Naïve Bayes, Random Forest, and Voting Ensemble with the best accuracy of ~72%, and deep learning model like Neural Network with an accuracy of ~

machinelearningphishing icon machinelearningphishing

This project will determine which of the five supervised classification machine learning algorithms performs best in detecting phishy emails

mail icon mail

A Really Ruby Mail Library

mailmeta icon mailmeta

An forensics tool to help aid in the investigation of spoofed emails based off the email headers.

nlp-phish-dissertation- icon nlp-phish-dissertation-

Hons project deep learning at detecting phishing emails based form plain text CNN,BLSTM, BiCnn and a LSTM

pfe icon pfe

Construction d'un modèle ML pour détecter les courriels de phishing à l'aide des techniques NLP et virusTotal

phishing-detection icon phishing-detection

Phishing Detection System using Natural Language Processing and Machine Learning

phishing-url-detection icon phishing-url-detection

Phishers use the websites which are visually and semantically similar to those real websites. So, we develop this website to come to know user whether the URL is phishing or not before using it. URL - http://phishing-url-detector-api.herokuapp.com/

phishingdata-analysis icon phishingdata-analysis

Experimentation with Sentiment Analysis on Phishing Email Datasets. Machine-learning techniques to help classify the overall emotional content of the data as well as the difference among different phishing data

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