Topic: spam-mail-classifier Goto Github
Some thing interesting about spam-mail-classifier
Some thing interesting about spam-mail-classifier
spam-mail-classifier,Quick Spam Filter is a small, fast spam filter that works by learning to recognise the words that are more likely to appear in spam than non-spam. It is intended to be used in a procmail recipe to mark email as being possible spam.
User: a-j-wood
Home Page: https://www.ivarch.com/programs/qsf/
spam-mail-classifier,Spam mail detection using Logistic Regression Machine Learning model
User: aniket53
Home Page: https://spam-mail-detector-cicd.herokuapp.com/
spam-mail-classifier,This project detect the spam mail and this prediction model accuracy_socre is 96% percentage . This project build by @GovindHede
User: govindhede
spam-mail-classifier,Used machine learning models to predict spam mails, loan, diabetes etc... also done web scraping, sentiment analysis, EDA. Have fun.
User: hari8github
Home Page: https://github.com/hari8github
spam-mail-classifier,
User: manishshee24
Home Page: https://content/sample_data/mail_data.csv
spam-mail-classifier,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.
User: niladri-1
spam-mail-classifier,A web app featuring five classification projects: Spam Mail Prediction, Titanic Survival Prediction, Wine Quality Prediction, Loan Status Prediction, and Credit Card Fraud Detection, all built with Streamlit.
User: prachet283
Home Page: https://ml-project-21-classification-project-webapp-hfcyjreiafqnkaqh3m.streamlit.app/
spam-mail-classifier,Forwarded message or mail are fraud or not has been detected by our model using NLP.
User: shlok1810
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