OOPSpam Anti-Spam API blog
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Updated
Jul 3, 2024 - HTML
OOPSpam Anti-Spam API blog
The Spam Mail Classification project is a web-based application that uses machine learning to classify emails as spam or ham. It features a Flask backend, a frontend created with HTML, CSS, and JavaScript, and a MySQL database for storing user data and email classifications.
Spam Ham Classifier: A Python Flask application for categorizing messages as spam or ham. This classification is based on analyzing existing data in the database and predicting the likelihood of a message being spam or ham, without the use of machine learning.
Deploying Flask app to Google Cloud Platform using App Engine for classifying Spam Messages
Benchmarking ML classification models on spam dataset
WebApp that Predicts whether provided Text is Spam or Ham
Classifying SMS Messages as Spam or not(Using Text classification with ML techniques ).
A spam classifier web app to identify spam text from real texts
Spam or Ham classification using NLP [link not working]
Continuous Active Learning (CAL) for Predictive Coding: A Demonstration with Enron Spam-Ham Classification.
In this repo, I have stored all the files which I used to deploy my naive bayes classifier model on google cloud platform
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