samer-bazine-ds/Africa-Wealth-Index-Prediction-clusstering

# Africa-Wealth-Index-Prediction-clusstering # Wealth Index Prediction in Africa 🌍 ## Project Overview This project aims to predict economic well-being in African countries using readily available geospatial and environmental datasets. Since household-level economic surveys are sparse and costly, we attempt to model a **wealth index** from open-access data sources, offering a scalable and sustainable way to estimate wealth across the continent. --- ## 🎯 Objectives - Predict a continuous **wealth index** ranging from 0 to 1 using regression models. - Reclassify the target into **binary wealth classes** (rich vs poor) and perform classification. - Perform both **unsupervised learning** and **supervised learning** to gain insights and build predictive models. - Apply **model tuning and stacking** to improve performance. - Ensure reproducibility and generalizability by only using continent-wide datasets. ---