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Python Report Email Spam Detection by Sam Jagosh is a document available to read on EtoBox.

The project report outlines the development of an Email Spam Detection System using a machine learning approach, specifically a Naive Bayes model, which incorporates an active learning feedback loop for continuous improvement. It contrasts the proposed system with existing static spam detection methods, detailing its architecture built on FastAPI for the backend and React for the frontend. Future enhancements are suggested to improve database integration, security, and model accuracy, aiming to transition t

Author
Sam Jagosh
Language
EN