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Intro:

🇺🇸English:

Project was done with educational purposes. Reimplementing algorithms from scratch and adding class notes.

ython, para evitar cópias diretas do código e me concentrar na abstração dos algorítimos.

Implemented :

  • bam
  • DWNN (distanced weighted nearest neighboors)
  • KNN (k-nearest neighboors)
  • MLP (multilayer perceptron)
  • naive bayes
  • k-means

To be implemented:

  • Decision Trees
  • SVM (suport vector machine)
  • RBF (radial basis function)
  • multinomial naive bayes
  • Swarm Particle Optimization

References:

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basic machine learning algorithmns and tests.

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