Used machine learning models to predict spam mails, loan, diabetes etc... also done web scraping, sentiment analysis, EDA. Have fun.
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Updated
Jun 6, 2024 - Jupyter Notebook
Used machine learning models to predict spam mails, loan, diabetes etc... also done web scraping, sentiment analysis, EDA. Have fun.
This project detect the spam mail and this prediction model accuracy_socre is 96% percentage . This project build by @GovindHede
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.
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 mail detection using Logistic Regression Machine Learning model
Forwarded message or mail are fraud or not has been detected by our model using NLP.
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