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