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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.

Proof Of Concept of DEcentralised Machine Learning on top of the Golem (https://golem.network/) architecture

  • golem
  • decentralised-machine-learning
  • federated-learning

Create n-grams of wordlists based on words, characters, or charsets to use in offline password attacks and data analysis