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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.

Example of implementing Support Vector Machine (SVM) with RBF (Gaussian) kernel in Ruby using rb-libsvm. .

  • rubyml
  • ruby
  • svm
  • svm-classifier

A Golang boilerplate code to test and benchmark cloud platforms.

  • go
  • golang
  • golang-boilerplate
  • golang-server