Classifying malignant and benign tumors using Neural Networks 🔬

Matlab code for Time Series Domain Adaptation Problems

A Novel Feature Fusion Approach for VHR Remote Sensing Image Classification

Artificial Intelligence assignments, for the course Artificial Intelligence : Knowledge Representation

Classification of cervical cancer using SVM is done on Herlev Pap Smear

This repository contains some machine learning projects as a practise on machine learning course on Coursera for Prof. Andrew Ng from Stanford University.

A New Classification Method Using Soft Decision-Making Based on an Aggregation Operator of Fuzzy Parameterized Fuzzy Soft Matrices

MATLAB implementation of a decision tree based on ID3 capable of binary classification and handling of continuous features

classify emotion from speech signal

Tensor Singular Spectral Analysis for 3D feature extraction in hyperspectral images, TGRS, 2023

ML Mini-Projects, in the context of Andrew's Ng coursera course. Implemented in Octave.

Safety regions research is a well-known task for ML and the main focus is to avoid false positives, i.e., including in the safe region unsafe points. In this repository, two methods for the research of zero FPR regions are proposed: the first one is based simply on the reduction of the SVDD radius until only safe points are enclosed in the SVDD …

Fisher Linear Discriminant Analysis (FLD) Application

This repo is created to work on ML and 5G PoC

Function Approximation and Classification implementations using Neural Network Toolbox in MATLAB. Function Approximation was done on California Housing data-set and Classification was done on SPAM email classification data-set.

Machine learning algorithms in Octave

Stanford's Machine Learning MOOC from Coursera

Coursera Machine Learning Assignments

An online course on ML taught by Andrew Ng. Introduces algorithms from scratch including regression models, classification, Neural Networks, SVMs, K-Means clustering, and applications such as Photo OCR.

Page Blocks Classification