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Visual analysis and diagnostic tools to facilitate machine learning model selection.
🛠 All-in-one web-based IDE specialized for machine learning and data science.
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.