spam-classification

🗣️ Tool to generate adversarial text examples and test machine learning models against them

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

Spam Scanner is a Node.js anti-spam, email filtering, and phishing prevention tool and service. Built for @ladjs, @forwardemail, @cabinjs, @breejs, and @lassjs.

Large Collection of Extensions and AspNetCore projects for ML.NET models and integration

Spam filtering module with Machine Learning using SVM (Support Vector Machines).

A web app that classifies text as a spam or ham. I am using my own ML algorithm in the backend, Code to that can be found under machine_learning_section. For Live Demo: Checkout this link

Quick Hands-On NLTK tutorial for NLP in Python. NLTK is one of the most popular Python packages for Natural Language Processing (NLP). Easy to Start for Anyone.

Detects cyber threats to the end user with machine learning. This tool can do malware analysis of given exe file, spam analysis of given url and mail.

This is about spam classification using HMM model in python language

Group Guardian is a Telegram bot for admins to maintain a safe community.

An Android Project to demonstrate the use of a TensorFlow Lite model to classify spam messages.

A simple bayesian spam classifier written in Rust.

Official resource of the paper "Traditional and Context-Specific Spam Detection in Low Resource Settings", Machine Learning Journal 2022

Companion to Kopano Core kopano-spamd, process spam written to /var/lib/kopano/spamd/spam

Machine Learning Exercises from Online Course (Coursera)

📖 Understanding Spam Classification using Neural Networks

A TensorFlow Project which detects spam messages and uses this capability in Android apps.

URL Based Spam Classification Using Machine Learning