✨ spam detection using Bayesian Learning and Ensemble Learning. This repository implements Bayesian Learning from scratch

React Application for detecting spam messages/emails

🔥 Classify your email SPAM or HAM easily with the Machine Learning Algorithm, FAST API and User-Friendly UI.

Machine learning spam detection for french text

🛡️SMSGuard – An advanced Machine Learning–powered SMS Spam Detection system using TF-IDF and models like Naive Bayes, Logistic Regression, and SVM. Includes confusion matrix visualization, real-message testing, and custom SMS predictions. Perfect for cybersecurity, telecom filtering, and ML learning.

Explore and contribute to the Indian Telecom SMS Spam Collection.

This project is a simple spam message classifier built using Python's Scikit-learn library. It uses a Multinomial Naive Bayes model combined with a Count Vectorizer to classify text messages as either Spam or Ham (Not Spam).

A machine learning model for detecting spam in SMS messages using Python and scikit-learn.

SMS Spam detection using techniques of natural language processing

Implement and Evaluate Naive Bayes for text classification

Implement and Evaluate Perceptrons for text classification

Spam Detection System

A Python project to classify text messages as spam or not using machine learning models.

<p align="center"> <img src="https://github.com/Chill-Astro/Explorer-Spammer/blob/main/EXPS.ico" width="128px" height="128px" alt="Logo"></p><h1 align="center">Explorer-Spammer</h1>Explorer-Spammer is a joke program that quickly opens File Explorer windows on Windows systems. Made in Python, it offers different versions for your convenience.