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

• UpdatedNov 9, 2024
• JavaScript

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.

• UpdatedJan 16, 2018
• Python

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

• UpdatedMar 30, 2024
• Clojure

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).

• UpdatedJun 14, 2018
• Swift

• UpdatedJan 7, 2023
• TypeScript

Flask WebApp for Spam Detection using NLP

• UpdatedJun 17, 2024
• CSS

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

• UpdatedMay 15, 2019
• Python

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

• UpdatedSep 1, 2019
• Jupyter Notebook

Spamming Bot

• UpdatedMar 17, 2021
• Python

WebApp that Predicts whether provided Text is Spam or Ham

• UpdatedSep 24, 2021
• HTML

spam classifier with a dataset of 5000 mail

• UpdatedMay 30, 2020
• Jupyter Notebook

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

• UpdatedAug 3, 2020
• Jupyter Notebook

This project classifies the email into spam and ham.

• UpdatedOct 30, 2019
• Python

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.

• UpdatedJul 27, 2020
• Jupyter Notebook

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

• UpdatedJul 8, 2019
• Python

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

• UpdatedAug 11, 2020
• Jupyter Notebook

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.

• UpdatedJun 21, 2020
• MATLAB

Spam classifier using Naive Bayes algorithm.

• UpdatedDec 27, 2018
• Jupyter Notebook

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

• UpdatedJul 21, 2018
• Jupyter Notebook

Naive Bayes Classification implementation of Spam Classifier in Python from scratch.

• UpdatedOct 16, 2022
• Python