Email Spam Detection

This project uses machine learning techniques to classify emails as Spam or Not Spam. It includes text preprocessing, feature extraction (TF-IDF), and a Naïve Bayes classifier for accurate detection. Additional features like keyword analysis and spam categorization enhance detection accuracy. Built with Python, Scikit-learn, and Pandas, the model provides reliable spam classification.