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#

email-spam

Here are 21 public repositories matching this topic...

Email-Spammer

Great script for sending and spaming emails! gmail, yahoo, outlook, hotmail.

  • UpdatedDec 3, 2024
  • Python

This tool named "Sms-Bomb" is mainly use to prank friends with this , All working apis are present in the script , If you do any illegal activites through this script we are not responsible

  • UpdatedOct 24, 2024
  • Python

The Email Bomber is made for research and testing purposes only. Email Bombercan send bulk mail or SMS text messages.

  • UpdatedMar 19, 2025
  • Visual Basic .NET

📧 A cool email spammer

  • UpdatedJun 14, 2021
  • Python

Simple C# program to make email spam.

  • UpdatedNov 4, 2020
  • C#
Email-Spam-Tool

Email Spam Tool is a powerful application designed for testing and analyzing email systems by generating and sending bulk emails. This tool is meant for security professionals and developers to evaluate email filtering systems and anti-spam measures.

  • UpdatedSep 8, 2024
  • C++

Spam email with this tool

  • UpdatedFeb 25, 2021
  • Python

detects youtube comment spam, text spam, email spam, sms spam in one

  • UpdatedMay 2, 2020
  • Jupyter Notebook

Email Spam, Do With Your Own Risk

  • UpdatedDec 20, 2022
  • Go

A spam bot works using a GMail-Adress

  • UpdatedJun 1, 2021
  • Python
  • UpdatedJan 12, 2021
  • Jupyter Notebook

We developed a Naive Bayes model to classify messages as spam or ham. Using TF-IDF for feature extraction, it achieved 98% accuracy, proving effective for email filtering and categorization.

  • UpdatedNov 20, 2024
  • Jupyter Notebook

This project is the prediction of Instagram reach of users. And only the data are taken from the respective owner.

  • UpdatedSep 8, 2022
  • Jupyter Notebook

Model comparison that can classify emails as spam or not spam using machine learning algorithms.

  • UpdatedDec 5, 2023
  • Python

Spam Filtration using Naive Bayes.

  • UpdatedDec 5, 2019
  • Python

This project was developed during an internship at Afame Technologies, where I worked as a Machine Learning Intern. The goal of this project is to create a model that can accurately detect spam emails using a Naive Bayes classifier. The model achieves an impressive 98% accuracy on the spam detection dataset.

  • UpdatedJun 8, 2024
  • Jupyter Notebook

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