SMS spam detection using Naive Baye's Classifier
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Updated
Sep 17, 2019 - Jupyter Notebook
SMS spam detection using Naive Baye's Classifier
SMS Spam Detector build using flask deployed using heroku.
Streamlit application that uses Naive Bayes to assign users an "Irish-ness score" (the Murphy Index). ☘ Development process has application to spam detection on short-length documents.
Aplicativo web para prever se uma mensagem de e-mail é Spam, Fraude ou Normal
Spam message classifier using Naive Bayes
ML model to classify email in two category in spam or ham.
This WordPress plugin provides a spam filter for the defined patters, and sets post status to draft, and comment status to 0 if their contents match the defined words and or phrases.
In this repository, I uploaded all the projects/tasks in Data science Internship at Bharat Intern.
Bachelor thesis "Comparison of some methods of machine learning for the analysis of text information" at Kyiv Polytechnic Institute, Institute of Applied Systems Analysis.
Empower your content moderation with the console based AI text filtering system. Seamlessly filter and flag inappropriate or harmful content with precision and efficiency.
This project uses Streamlit to run a simple Logistic Regression ML model to classify mail content (only text, not the sender or attachments) as spam or not spam. The model itself is built using scikit-learn modules, and is imported to the interface using pickle module..
A naive bayes approach to classify spam from the UCI spambase
SpamGuard is a GitHub project offering machine learning-based email spam detection and classification. It includes data preprocessing, model training, and deployment guidance for creating robust spam filtering solutions.
Email summarizer project for the GenAI hackathon organzied by the Peerlist
BCA 6th Sem : Network Programming [ Mini Project ]
SpamShield is a Flask-based web application that employs machine learning to swiftly identify and flag spam content in emails and text messages, offering users real-time protection against unwanted solicitations. With an intuitive interface and privacy-conscious design, SpamShield ensures efficient spam detection while safeguarding user privacy
A Command-Line tool to identify the origin of spam!
Several popular machine learning problems, solved using Scikit-learn.
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