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

React Application for detecting spam messages/emails

🛡️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.

Machine learning spam detection for french text

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

Explore and contribute to the Indian Telecom SMS Spam Collection.

Implement and Evaluate Naive Bayes for text classification

SMS Spam detection using techniques of natural language processing

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.

Spam Detection System

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

Implement and Evaluate Perceptrons for text classification

<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.