This MATLAB code implements the binary Grass hopper optimization algorithm to select the features and train with KNN

Breast cancer classification and evaluation of classifiers

Here is a small collection of how to use MATLAB to solve Machine Learning challenges

Face recognition using various classifiers

Third assignment of Machine Learning I, regarding the impelementation of a k-nearest neighbor in Matlab

Face Recognition using PCA Algorithm

Heart-Disease dataset analysis using Matlab and the Orange framework.

MATLAB Project

A real-time music genre classification system that combines classical machine learning techniques with a CNN trained on mel-spectrograms. The hybrid model utilizes DSP-based feature extraction and ensemble learning to achieve high accuracy and low latency for practical audio applications.

In this work, an automatic and reproducible methodology is proposed using computer vision techniques for sorting oranges by size and defects. Master thesis written in Spanish.

This repository consists of the Machine Learning for Robotics laboratory activities: a Naive Bayes classifier, linear regression, kNN classifier and Neural Networks, namely.

An integrated MATLAB–ML system for early fault detection in induction motors. Detects six faults broken rotor bars, stator short, ground fault, overloading, eccentricity, and voltage imbalance using KNN and Decision Tree models for accurate, unified, and reliable predictive maintenance.

K Nearest Neighbour

LSVT classification algorithm

Examples practiced in class at University Federal of Ceará.

Source files for publication titled 'Machine learning based KNN classifier: towards robust, efficient DTMF tone detection for a Noisy environment'