pca: A Python Package for Principal Component Analysis.

GreeDS algorithm from Pairet etal 2020. Re-implemented to be independent from MAYONNAISE

Unsupervised learning! Using Principal component analysis for dimension reduction and Clustering analysis.

Comparative analysis of different feature extraction techniques for hyperspectral image classification.

A Julia package for exponential family principal component analysis (E-PCA).

Face Recognition Using several dimensionality reduction techniques along with KNN as a classification algorithm

Python library to handle Scanning Probe Microscopy Images. Can read nanoscan .xml data, Bruker AFM images, Nanonis SXM files as well as iontof images(ITA, ITM and ITS).

Machine Learning Code Implementations in Python

Social Media Analysis using multivariate analysis in a Rutgers Business School Classroom

Fast Best-Subset Selection Library

Exploratory Principal Component Analysis

This repository contains functions/codes related to different methods of machine learning for classification and clustering in python.

The HotellingEllipse package helps draw the Hotelling's T-squared ellipse on a PCA or PLS score scatterplot by computing the Hotelling's T-squared statistic and providing the ellipse's x-y coordinates, semi-minor, and semi-major axes lengths.

A topic designed by Warwick Business School requires students to enhance loan portfolio management by utilising cluster analysis to group borrowers with similar characteristics, enabling personalised loan products, targeted marketing strategies, and a better customer support process to serve the unique needs of each segment through cluster analysis

Explore the H1B Visa data from 2014 through a comprehensive multivariate analysis.

Some of the topics, algorithms and projects in Machine Learning & Deep Learning that I have worked on and become familiar with.

Face Recognition Project using PCA and LDA Algorithms for Dimensionality Reduction

Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model

PCA in c

This repository presents a study on predicting student alcoholism and academic performance using machine learning. By analyzing a dataset of student attributes, we develop models to forecast academic outcomes and alcohol usage.