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✨ A compilation of suggested tools/services for each component in a detection and response pipeline, along with real-world examples. The purpose is to create a reference hub for designing effective threat detection and response pipelines. 👷 🏗

This project presents a Python-based spam detector program that utilizes the Naive Bayes approach to classify emails as either spam or ham. The system is designed to accurately and efficiently identify spam messages, providing a useful tool for individuals and organizations seeking to manage their email inboxes more effectively.