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Machine learning library. Quadratic discrimant analysis, Gaussian Naive Bayes, KNN, Perceptron.

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TeodorDyakov/Banichka

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A toy supervised classfication library that I created, because I was curious how Machine Learning alogrtihms actually do their magic.
Implemented algorithms :

  • K-nearest neigbor
  • Gaussian Naive Bayes
  • Nearest centroid
  • ZeroR
  • Multiclass Perceptron(not to be confused with Multilayer Perceptron)
  • Quadratic Discriminant Analysis

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