Unsupervised Extreme Learning Machine(ELM) is a non-iterative algorithm used for feature extraction. This method is applied on the IRIS Dataset for non-linear feature extraction and clustering using k-means, Self Organizing Maps(Kohonen Network) and EM Algorithm

Accucopy is a computational method that infers Allele-Specific Copy Number alterations from low-coverage low-purity tumor sequencing data.

Term 1 Project 3 Design a Sign Language Recognition System by Luke Schoen for Udacity Artificial Intelligence Nanodegree (AIND)

Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery

Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery

Parametric PDE discovery using UBIC (uncertainty-penalized Bayesian information criterion)

Comprehensive OOP Python-implemented pipeline for analyzing single-cell RNA-seq data, integrating dimensionality reduction, clustering, and visualization to identify distinct cellular states.

PyMC source program to determine the number of clusters in multi-dimensional data by WBIC.

PDE discovery using UBIC (uncertainty-penalized Bayesian information criterion)

Estimating common parameters of the distribution of a successive Random dilution. A comparative study.

Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery

Sign Language Recognizer

A Python package implementing informational complexity (ICOMP) criteria for regression models

University Project: using linear regression models to predict secondary market car prices based on a series of features. We will apply variable selection techniques and optimisation in attempt to build the best predictive model.

The project involves the analysis and forecasting of time series on financial data.