A machine learning project using Colombia’s GEIH household survey to build and evaluate predictive models for identifying subsidy-eligible households, aiming to optimize resource allocation and reduce socioeconomic inequality.
machine-learning geospatial xgboost colombia policy-evaluation anomaly-detection subsidies explainable-ai ml-pipeline subsidy-targeting
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Updated
May 21, 2025 - Jupyter Notebook