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2,929–2,952 of 3,349 · Most stars

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.

Clean boilerplate for graphql services, wasm/yew frontend, handlebars frontend. Using tide, rhai, async-graphql, surf, graphql-client, yew, handlebars, jsonwebtoken, and mongodb.