Mutual Information-based Non-linear Clustering Analysis

scRNA-Explorer pipeline allows users to interrogate in an interactive manner scRNA-sequencing data sets to explore via gene expression correlations possible function(s) of a gene of interest

The model predicts the treatment success rate for new TB cases with high accuracy and robustness. Two different approaches: PCA and Bayesian Inference. The Bayesian regression analysis reveals that c_new_sp_tsr and new_sp_fail are significant predictors of the treatment success rate, while other predictors show less certainty in their effects.

Expectation-Maximization-based clustering algorithm to identify groups defined by biological variates as clusters in single-cell transcriptomic data.

A comprehensive bundle of utilities for the estimation of probability of informed trading models: original PIN in Easley and O'Hara (1992) and Easley et al. (1996); Multilayer PIN (MPIN) in Ersan (2016); Adjusted PIN (AdjPIN) in Duarte and Young (2009); and volume-synchronized PIN (VPIN) in Easley et al. (2011, 2012). Implementations of various …

Phenomenological power spectrum models for Halpha emission line galaxies from the Nancy Grace Roman Space Telescope (2023MNRAS.523.2498M)

Comparative clustering and visualization of socioeconomic and health indicators: A case of 47 counties in Kenya.

Clustering - Cohort Analysis - Retention Analysis

Spatial Analysis of Crime and SES in Washington D.C. Completed in fulfillment of GG4257: Urban Analytics as a Toolkit for Sustainable Development.

Analyzing and recommending Amazon products using graph-based methods and regression models.

Docker powered starter for geospatial analysis of lightning atmospheric data.

This repository contains an ML project that was approached with a business mindset from the beginning to the end. It addresses the problem of clustering.

Predictive Modeling and Clustering Insights for Kickstarter Success

A concatenation of two GNNs to decode dynamic clustering on localization datasets

Clustering and resource allocation using Deterministic Annealing Approach and Orthogonal Non-negative Matrix Factorization O-(NMF)

My projects for the Practical Data Science course in the MSc in Data Science, AUEB.

This project implements cohort, RFM and Clustering based analyses to identify various customer segments of a retail business for developing group specific marketing strategies based on customer purchasing behaviours.

This is a repository consisting of my Machine Learning Tools and Techniques Assignment

Clustering Top Spotify Songs (Based on Rock Genre)