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

Robust PCA implementation and examples (Matlab)

A MATLAB toolbox for classifier: Version 1.0.7

Synthesis of individualized HRTFs based on Neural Networks, Principal Component Analysis and anthropometry

This repository contains lecture notes and codes for the course "Computational Methods for Data Science"

💡This repository contains all of the lecture exercises of Machine Learning course by Andrew Ng, Stanford University @ Coursera. All are implemented by myself and in MATLAB/Octave.

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.

Andrew Ng's Machine Learning Course

Approach at solving the problem of Face Recognition using dimensionality reduction algorithms like PCA and LDA

Clustering using Self-Organizing Maps through Non-Linear Principal Components Analysis - Rainfalls in Southwestern Colombia

This repository contains tools to simulate the ground filtering process of a registered point cloud. The repository contains two filtering methods. The first method uses a normal vector, and fit to plane. The second method utilizes voxel adjacency, and fit to plane.

Using Principal Component Analysis and Euclidean Classifier for face recognition with GUI

Predicting solar generation based on weather forecast - a project which was part of Machine Learning course at BITS Pilani

Anomaly detection on a production line using principal component analysis (PCA) and kernel principal component analysis (KPCA) *from scratch*.

Project on hyperspectral-image clustering for the Μ402 - Clustering Algorithms course, NKUA, Fall 2022.

This repository stores my personal projects related to data science studies.

Sandia National Laboratories - Extreme Sea State Contour

Functional data analysis of countermovement jump data. It creates linear models from component scores based on a range of data processing techniques, including curve registration.

Machine Learning from Stanford University (Andrew Ng) - Assignments and Lectures

Principal Components Analysis based on the Lanczos algorithm.