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

A Naive Bayes spam/ham classifier based on Bayes' Theorem. A bunch of emails is first used to train the classifier and then a previously unseen record is fed to predict the output.

a software held to act as a charm to avert spam and bring good messages

Building a iOS Application using Apple's Core ML Framework, we will builed a Linear SVC model using sklearn library on the SMS Data, users will type a message on their iPhone and our model will then identify whether the message is a Spam or a Ham (Not spam).

Flask WebApp for Spam Detection using NLP

Spam classifier to test and train basic spam and ham emails using Naive Bayes Technique

The project main goal is to classify an email as spam or not using Naive Bayes Algorithm.

Spamming Bot

spam classifier with a dataset of 5000 mail

WebApp that Predicts whether provided Text is Spam or Ham

It uses Text Extraction Feature like TF-IDF Vectorizer and simple python code, to classify the messages as spam or ham (normal).

Spam Classifier project for my end-of-semester project for Intro to AI class. We were a group of four people. I worked on all the Naive Bayes models.

This project classifies the email into spam and ham.

We use support vector machines (SVMs) with various example 2D datasets. Experimenting with these datasets will help us gain an intuition of how SVMs work and how to use a Gaussian kernel with SVMs. In the next half of the exercise, we use support vector machines to build a spam classifier.

Beginners' try with natural-language-processing end-to-end projects.

This is a system that takes an email and classifies if it is spam or not.

Spam classifier using Naive Bayes algorithm.

Use the Naive Bayes algorithm to create a model that can classify dataset (https://archive.ics.uci.edu/ml/datasets/SMS Spam Collection) SMS messages as spam or not spam

SMS Spam Detection using machine learning algorithms