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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.

An example project explaining how to create and publish CDK constructs using projen and jsii. It lets you publish your CDK constructs to npm, Maven, NuGet and PyPi.

.Net Code Katas - A prebuild Kata project that already includes tests and base classes.

  • kata
  • c-sharp
  • caesar-cipher
  • roman-numerals