Announcing the Release of DHS-To-Database-dhs2CSVTables-simplified! We are excited to announce the release of our new project: DHS-To-Database-dhs2CSVTables-simplified! This open-source tool is designed to simplify the…
Building on the success of KILIMA TULIP AI, we are excited to introduce our latest initiative. This project, rooted in Explainable AI (XAI), focuses on…
Welcome to KILIMA TULIP AI, a project dedicated to predicting under-five (U5) child survival risk in Africa using Deep Learning AI techniques. As part of…
Welcome to DEEP MINTILO AI, a project dedicated to predicting under-five (U5) child survival risk in Ethiopia using Deep Learning AI techniques. This project is…
WATOTO SURVIVAL DEMO View on GitHub An open source project that utilizes classical survival analysis methods in R, including Kaplan-Meier and Cox regression techniques. Its…
An open source project dedicated to utilizing Python and machine learning techniques to provide insights for policy makers in eradicating child mortality. By analyzing data…
DHS AI Genesis is a Machine Learning (ML) framework that showcases applications of data science and machine learning to Demographic and Health Surveys (DHS) data.…