Course materials for DEM 5093/7093 GIS for Population Science

Archived code for analyses in "Extensive phylogenomic discordance and the complex evolutionary history of the Neotropical cat genus Leopardus" (Lescroart et al. 2023, MBE)

This repo contains an analysis used in an article about Finland's new immigration policies.

Official code for 2021-DASFAA-Neural Demographic Prediction in Social Media with Deep Multi-View Multi-Task Learning

Machine learning classification algorithm on predicting whether an individual earns >50K or not given their demographic variations.

Biblioteka srpskih prezimena

Project analyzing trends in U.S. indigent burial for the 2022 Public Interest Technology Data Science Corps.

Lista srpskih imena

A Demographic Simulator

Intersectional Demographic Analysis of Over-response and Under-response of the New Orleans Police Department

Discovering if there exists a relationship🔗 between specific demographic characteristics in the population that would explain the tolerance in the population to report noise nuisance to the "311" department 👮🏻‍♂️

Data Science and Machine Learning projects based on Python

This GitHub repository hosts the notebooks and tools developed as part of this thesis to automate the extraction, processing, and analysis of data from the MICCAI 2023 conference, aiding in the systematic review and providing a structured foundation for further research in this crucial area.

Archived code for analyses in "Genomic signatures of divergent ecological strategies in a recent radiation of Neotropical wild cats" (Ramirez et al. 2022, MBE)

Analyzing the CDC birth data files with Python. Oh baby!

Estimate life table survivorship from orphanhood and vice versa

2016 General Election, A Geographic and Demographic Analysis - Using Data Visualization and Machine Learning in R to study and model 2012 and 2016 general election voting patterns

Demographic forecasts for a selected panel of 26 electoral sections.

Churn Modelling - unusual rate at which customers leaving the company, we need to figure out why? we need to understand the problem? We actually need to create a demographic segmentation model to tell the bank/company which customers are at high risk of leaving.