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Machine-Learning-from-scratch_2019

This repository features various machine learning implementations using no ML libraries.

Includes:

  • Different Linear Regression methods

  • Cross validation

  • F-score

  • K-nearest neighbours classifier

  • Naive Bayes classifier

  • decision tree

  • Feature selection

  • Different cluster methods

  • SVM (not really. based on Genetic optimization)

  • Convolutional Neural Network

  • Feed Forward Neural Network