Fraud Detection

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GitHub

Machine Learning spam classifier achieving 98% accuracy using SVM, NLP, and TF-IDF vectorization

An intelligent spam detection system that classifies SMS/email messages with 98.48% accuracy using machine learning. This project compares multiple algorithms and provides comprehensive performance ...
IEEE

Email Spam Detection using Machine Learning

Abstract: While the world of digital communication is expanding at an unprecedented rate, email spam has emerged as a major problem causing security threats, information redundancy, and loss of ...
Fox News

The surprising reason you should not delete spam emails

Spam is annoying and can sometimes be dangerous if it's part of a widespread phishing attack. When you see spam, you delete it, at least that's what conventional wisdom suggests. However, it now seems ...
WSB-TV

Why your emails land in spam—and how to fix it

You can write the perfect cold email — an email so compelling you could sell sand in the desert. But if you can't get that email into your prospects' inboxes, it will go unseen and unread, lost to the ...
New York Post

Google caught flagging GOP fundraiser emails as ‘suspicious’ — sending them directly to spam: memo

Google is at it again — and GOP campaign donations could be a casualty. The search giant has been caught this summer flagging Republican fundraising emails as “dangerous” spam — keeping them from ...
GitHub

MusXIII/SMS_SPAM_DETECTION

This project implements a machine learning model to classify SMS messages as "spam" or "ham" (not spam) using Decision Trees and TF-IDF vectorization. CS_Project_II/ ├── dataset/ │ └── spam.csv # SMS ...