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GitHub topics: multinomial-naive-bayes-classifier

vinesh70/MailGuard-Intelligent-Spam-Detection

MailGuard is an intelligent spam detection tool that classifies emails as spam or ham using a Multinomial Naive Bayes model. Built with Streamlit, it leverages natural language processing techniques for text cleaning and feature extraction.

Language: Python - Size: 379 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Dhruvil03/Spam_SMS_Detection_Web_App

Developed a web application using Streamlit library in python which can detect whether the sms is spam or not.

Language: Python - Size: 316 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

mohammadnabia/Multinomial-nb-Spam-Identifier

Identifying and distinguishing spam SMS and Email using the multinomial Naïve Bayes model.

Language: Jupyter Notebook - Size: 131 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

Related Keywords
multinomial-naive-bayes-classifier 3 python 2 spam-detection 2 streamlit 2 spam-filtering 1 spam-filter 1 spam-classification 1 smsspam-dataset 1 sms-spam-detection 1 naive-bayes-classifier 1 multinomial-naive-bayes 1 email-spam-detection 1 email-spam-classifier 1 streamlit-webapp 1 countvectorizer 1 tfidf-vectorizer 1 text-processing 1 nlp 1 machine-learning 1 ham-detecttion 1 email-classification 1