This repository contains my solutions to the programming assignments in the Machine Learning course. The solutions are all implemented in MATLAB

Sparse Autoencoder based on the Unsupervised Feature Learning and Deep Learning tutorial from the Stanford University

This is where I play and learn about machine learning applications.

Certification of course taught by Andrew Ng - Machine Learning (Stanford)

Solutions for the Coursera Machine Learning Course (Andrew Ng).

My solutions to the programming assignments of the machine learning course.

MATLAB implementation of spectral clustering applied to geometric datasets (circle, spiral, sphere) with evaluation metrics and visualization.

Code for the analysis conducted in the paper "On the Importance of Hidden Bias and Hidden Entropy in Representational Efficiency of the Gaussian-Bipolar Restricted Boltzmann Machines"

Analysis of the Salinas hyperspectral image dataset using advanced clustering algorithms, focusing on identifying homogeneous regions in the image. Implementations of cost-function optimization and hierarchical clustering techniques, along with evaluations and visualizations in reduced-dimensional spaces.

Implementation of various supervised and unsupervised machine learning algorithms in MATLAB using C/C++

Code of the paper "Cluster Analysis Based on Fasting and Postprandial Plasma Glucose and Insulin Concentrations"

Coursea Mooc : https://www.coursera.org/learn/machine-learning

Implement the K-means unsupervised learning algorithm. Utilized the simplified Iris dataset to test code.

A distance metric analysis approach to pattern characterisation

Machine Learning course that covers the most effective ML techniques, the theoretical underpinnings of learning, the practical knowledge needed to quickly and powerfully apply these techniques to new problems, and best practices in innovation as it pertains to machine learning and AI.

My solutions to UFLDL Tutorial (http://deeplearning.stanford.edu/wiki/index.php/UFLDL_Tutorial)

Machine learning in Octave

This repository provides the MATLAB implementation of RSTR.