This collection of codes can be used for extracting features from continuous seismic signals for different machine learning tasks.

This repository contains a set of Matlab scripts to process EEG and EMG signals (feature extraction, spectral analysis, ...).

MATLAB implementation of Gradient Descent algorithm for Multivariate Linear Regression

Contains the codes for Discriminative and Robust Local Binary Pattern and Discriminative and Robust Local Ternary Pattern for object recognition developed by me during my PhD studies.

This repository will contain all the material I used in this specialization.

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

Goal of this project was to predict beef carcass 22 yield parameters using image analysis. The code (written in MATLAB, Python) for image processing, feature extraction and multivariate modelling is found in this repository

Multiple Representation DeepInsight technique

Object detection and direct image feature extraction for crystallization image data. Code setup to process files and image data from Crystalline system.

Selecting the best time-domain EMG features using the novel and some classical feature selection algorithms.

Digital Signal Processing in Electroencephalography signals. Spike detection with threshold method and isolation with windowing. Temporal and spectral feature extraction. Classification in three neurons.

machine learning exercises exploring various machine learning algorithms