Aug 26, 2022 · This project report aims to use machine learning techniques specifically deep learning classifiers to differentiate between spam and ham emails. This research also looks at …

Feb 14, 2025 · 📧Email classification using a Machine Learning Models. It categorizes emails as either "ABUSIVE" or "NON ABUSIVE" based on their content, allowing users to quickly assess …

May 9, 2022 · In this article, we use different types of machine learning classifiers to predict class labels using the spambase email dataset. The dataset is split into two parts: one is training …

email classification is done using machine learning algorithms. Two of the important algorithms namely, Naïve Bayes and J48 Decision Tree are tested for their efficiency in classifying emails …

Jan 20, 2021 · Here, I will use both supervised and unsupervised techniques to classify and describe email groupings. For this project you can download the spam and non-spam (referred …

In this project, we aim to build a machine learning model that classifies emails as either spam or non-spam (ham) using Python. We will apply several classification algorithms and compare …

This is a text classification project which is a multi-class classification. Various classifiers are trained and tested using Python. It includes the classification of emails based on their content …

In this study, a machine learning and Natural Language processing-based supervised learning approach was used and plays an effective role in improving email classification. The dataset …

Oct 18, 2020 · By going through the text of the email, we will use Machine Learning algorithms to predict whether the email has been written by one person or the other. The dataset may be …

In this paper, we propose a multi-label email classification approach to organize emails. An efficient classification method has been proposed for forensic investigations of massive email …