Email spm tool
-
Updated
Jul 9, 2024 - C++
Email spm tool
The uploaded codes help to classify emails into spam and non spam classes by using Support Vector Machine classifier.
A Python-based email spam detector using the Naive Bayes approach.
The Email Bomber is made for research and testing purposes only. Email Bombercan send bulk mail or SMS text messages.
Email Spam Detection using Java and Apache Spark MLib
All-in-One Email Extract & Scraper Pro is a powerful and comprehensive email extraction and scraping tool designed to help users extract email addresses from google,bing,yahoo etc search engines, and social media platforms,and google map
This Model is used to Predict Emails data. Either emails are Spam or Normal (Ham) Mail.
One of the primary methods for spam mail detection is email filtering. It involves categorize incoming emails into spam and non-spam. Machine learning algorithms can be trained to filter out spam mails based on their content and metadata.
Email Spam Filter using SVM Classifier
An end-to-end automated script that will check the latest email from your google mail account and give a brief report whether the email was spoofed or was supposedly impersonated!
A simple text classifier in Python that uses the Naive Bayes model to classify e-mails as spam or ham.
Spam Email Detection using Naive Bayes
Create a `Naive Bayes` model for email spam detection
Some Machine Learning Experiments
Detected Spammed emails from an ‘SMS spam collection dataset’ with 98% accuracy. Used NLTK and Sklearn to preprocess the text data and classification.
This email spam checker uses two machine learning classifiers: kNN and Naive Bayes.
Add a description, image, and links to the email-spam-filter topic page so that developers can more easily learn about it.
To associate your repository with the email-spam-filter topic, visit your repo's landing page and select "manage topics."