In this project, I aim to analyze emails extracted from the Enron Email Dataset ... Machine Learning, specifically clustering algorithms, is employed for categorizing email data into spam and non-spam ...

Previous researchers had proposed methods of phishing email filtering that achieved accurate results on prefetched datasets, and email clients ... and conducted two types of experiments using machine ...

By leveraging machine learning—specifically text classification ... is a dummy data set that I created specifically for this project. It simulates real-world help desk email content and includes ...

a study was conducted on classifying Darknet Traffic using Machine Learning to detect user behaviors and identify potentially harmful activities. The CIC-Darknet2020 dataset was utilized, comprising 8 ...

Text categorization is an effective activity that can be accomplished using ... learning from training data. The performance of several machine learning and deep learning algorithms on the Titanic ...