Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

EE6227 Genetic Algorithms & Machine Learning

This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, and etc., which are simpler and easy to implement.

Submitted paperwork

These functions are included the "Random Forest" and the hybrid Random Forest and Multi-Objective Particle Swarm Optimization ("RF_MOPSO") to predict the targets as learning approach and find the optimal parameters of a multi-feature process, respectively. The example of this version is a drilling process prediction and optimization. Instruction…

MATLAB Project to Classify Different Sleep Stages of the EEG Signals using Machine Learning (Random Forest and Support Vector Machine)

Multi-Layer Random Forest, with Circularity Features, for Image Segmentation

Multi-Layer Random Forest [for Image] Segmentation

Thesis project concerning the development of predictive regression models for the estimation of cetacean abundance in the Gulf of Taranto using climatic and morphological variables.

MATLAB-based ML model for submission classification

A single-layer Random Forest model for voxel classification (volume segmentation).

A MATLAB-based GUI tool that predicts diabetes risk using machine learning (Random Forest) on the Pima Indian dataset.

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

Retinopathy detection and classification based on Random forest

This project is for Biomedical Engineering Fundamentals course and focuses on the classification of Electromyography (EMG) signals.

This repository demonstrates the usage of a Random Forest Model to predict patients with liver disease using MATLAB.

Used survey data with personality traits to predict cannabis consumption.

Yann's Matlab Codes for ML

Pitch Detection comparsion with Machine learning Algorithms