Email-Spam-Detection and Spam-Email-Detection
These are competitors—both are standalone machine learning projects for email spam classification that serve the same purpose using similar approaches (training on spam datasets with multiple ML models), making them alternative choices rather than tools meant to be used together.
About Email-Spam-Detection
kanagalingamsm/Email-Spam-Detection
Email Spam Detection using Machine Learning
This project helps anyone overwhelmed by unwanted messages by automatically sorting incoming emails into 'spam' or 'not spam' categories. It takes raw email content and identifies suspicious patterns, making your inbox cleaner and more focused. This is ideal for individuals or small teams looking to reduce junk mail.
About Spam-Email-Detection
KalyanM45/Spam-Email-Detection
This repository contains a Python script that uses various machine learning models to classify spam messages from ham messages. The model is trained on a Popular dataset of Spam emails and we use multiple machine learning models for classification.
This tool helps office managers, small business owners, or administrative staff quickly sort unwanted spam from legitimate emails. You input individual email content or an entire MBOX email archive, and it tells you which emails are spam and which are not. This helps improve email security and organization.
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