A Command-Line tool to identify the origin of spam!
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Updated
Nov 22, 2018 - Scala
A Command-Line tool to identify the origin of spam!
Several popular machine learning problems, solved using Scikit-learn.
This repository contains the code that I used to do spam detection
A simple, driver based spam protection package
The app is capable of detecting that whether the created email is a spam or a ham. The project was created at 4/1/2024 during my ML learning period.
Neural Network Classifier for detecting spam/toxic messages
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).
Fine-Tune BERT model for spam detection.
SpamGuard Pro: A foundational reference for spam detection using scikit-learn and Python. Leverage machine learning with a sophisticated prototype under the GNU General Public License v3.0.
This Machine Learning (ML) Python program aims to detect spam emails using an autoencoder-based learning approach. It first imports necessary libraries for data handling, evaluation metrics, preprocessing, and neural network modeling.
Spam detection using Naive Bayes
Test the spam probability of an email, based on idempotent rules (no learning).
YouTube Comment Spam Detector | WIP
Early-stage NLP project. NLP for spam detection and a simple educational game to follow.
This project aims to build a binary classifier for detection of spam and ham(not spam) Emails.
NO admin premium NAGS - for WordPress
Feature engineering and classification model development for detecting webform spam
Kirby command for mail-tester.com
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