Ordinal Regression and Classification Algorithms

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

Recognize traffic sign using Histogram of Oriented Gradients (HOG) and Colorspace based features. Support Vector Machines (SVM) is used for classifying images.

A system to recognize hand gestures by applying feature extraction, feature selection (PCA) and classification (SVM, decision tree, Neural Network) on the raw data captured by the sensors while performing the gestures.

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

Machine learning problem sets from Stanford University's Machine Learning course on Coursera

Solutions to Coursera Machine Learning course programming assignments

This repo created to detect Granuloma disorder that occurs on the tooth root. Program uses radiograph image as an input and will produce output based on features of radiograph image. Features are extracted using 2D Gabor Wavelet and classified using Support Vector Machine.

Voice Analyzer: Specialized in emotion detection, this Matlab app focuses on discerning anger and normal tones. Experience targeted insights, offering a nuanced perspective on voice sentiments.

Machine Learning Techniques to extract useful forecasts, conclusions and decision making in Quant Finance

Evolutionary Support Vector Machine

Machine learning techniques, such as Linear Regression, Logistic Regression, Neural Networks (feedforward propagation, backpropagation algorithms), Diagnosing Bias/Variance, Evaluating a Hypothesis, Learning Curves, Error Analysis, Support Vector Machines, K-Means Clustering, PCA, Anomaly Detection System, and Recommender System.

An Email Spam Filter. 📨

This repository contains a MATLAB-based Machine Learning Software (MLS) offers advanced biomedical signal processing with an intuitive GUI for analyzing EEG, ECG, and EMG. Features include noise filtering, feature extraction, dimensionality reduction, and customizable machine learning algorithms for tailored classification and analysis.

A jigsaw puzzle solver term project.

A Matlab implementation of support vector machines.

The project classifies characters (Hand-Written) by three algorithms Weighted kNN, Bayesian and SVM (using MATLAB R2016b and App Design GUI)

This is the recent work of my on the importance and application of mathematical function around its Hilbert function theory on artificial intelligence algorithms. The main motivation was the desire of improving the convergence rate and learning rate of various learning algorithms via Generalized Gaussian Radial Basis Function.

Implementing gender recognition based on first 14 MFCC coefficients, pitch period, short time energy and spectral centroid

This repository contains codes for feature extraction and subsequent classification of surface electromyogram (EMG) signals.