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.
- Updated
Oct 22, 2020 - MATLAB
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.
This repository contains some machine learning projects as a practise on machine learning course on Coursera for Prof. Andrew Ng from Stanford University.
A classification environment which learns features of fNIRS recordings and can distinguish between children which played alone and children who played with their mothers.
Multi hidden layers neural network in Octave for classification as generalization from Stanford Class CS229 on Machine learning
Code I developed and modified as a part of the Stanford ML course on Coursera.
MATLAB pipeline—averages Alpha/Beta/Theta powers from Kaggle EEG-S data, builds a 100-tree Random Forest to classify stress vs relaxed,
Handwritten digits image classification with the MNIST dataset using MultiLayer Perceptron.
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