This repository contains some machine learning projects as a practise on machine learning course on Coursera for Prof. Andrew Ng from Stanford University.
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Updated
May 7, 2020 - MATLAB
This repository contains some machine learning projects as a practise on machine learning course on Coursera for Prof. Andrew Ng from Stanford University.
It was developed by creating a hybrid structure with the techniques of K-nearest neighbor algorithm and metaheuristic search algorithms. SOS Algorithm was used as the Meta-Heuristic algorithm.
A classification environment which learns features of fNIRS recordings and can distinguish between children which played alone and children who played with their mothers.
Code I developed and modified as a part of the Stanford ML course on Coursera.
Multi hidden layers neural network in Octave for classification as generalization from Stanford Class CS229 on Machine learning
Handwritten digits image classification with the MNIST dataset using MultiLayer Perceptron.
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