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73–96 of 104 · Most stars

Solutions to In-Class questions, Problem Sets and Exams of MIT Mathematics for Computer Science 2015 (same as 2019 Open Learning Library)

  • calculus
  • counting
  • functions
  • graph

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.

A feature-packed, ready-to-use CMake template with testing, static and dynamic checks, coverage reports, and a tutorial.

Email marketing ASP.NET Core MVC and ASP.NET MVC demo app demonstrating CoreDdd and DatabaseBuilder usage