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What is Spam Email Classification with Naive Bayes about?

This document describes a project to implement a spam email classifier using the Multinomial Naive Bayes algorithm. It analyzes email subjects to classify them as spam or non-spam (ham). The project uses a Kaggle dataset, processes text with CountVectorizer, trains a model with Naive Bayes, and evaluates it with test data. A Streamlit web app is created for classification. The integrated text-to-speech adds accessibility. The project combines machine learning and natural language processing to effectively c

Author

ayeshanaseem9999

Language

EN