OOPSpam Anti-Spam API blog
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Updated
May 30, 2024 - HTML
OOPSpam Anti-Spam API blog
a software held to act as a charm to avert spam and bring good messages
Spam Scanner is a Node.js anti-spam, email filtering, and phishing prevention tool and service. Built for @ladjs, @forwardemail, @cabinjs, @breejs, and @lassjs.
NO SPAM is a Spam-Sms-Classifier tool designed to accurately classify text messages as either spam or not spam. Using advanced machine learning algorithms, the classifier analyzes the content of SMS messages and determines their likelihood of being unsolicited or unwanted.
A simple spam classifier built with Bayes' theorem.
Image Spam Buster - Hackathon submission for Mall91
Naive Bayes Classification implementation of Spam Classifier in Python from scratch.
Natural language processing (NLP) is a widely discussed and studied subject these days. NLP, one of the oldest areas of machine learning research, is used in major fields such as machine translation speech recognition and word processing. As part of this repository, I have implemented few projects on Natural Language Processing using Python and …
Artificial Intelligence Project
In this project I perform a simple spam detection task over the SMS Spam Collection Data Set (https://archive.ics.uci.edu/ml/datasets/SMS+Spam+Collection).
WebApp that Predicts whether provided Text is Spam or Ham
Spam Classifier using Naive Bayes from scratch (with Laplace Smoothing) without use of scikit-learn.
Spam classifier using Naive Bayes.
Python program that classifies spam using Bayes theorem
ML-powered Flask app to perform spam classification of SMS messages.
Spamming Bot
Built a spam classifier from the UCI Spambase data set
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