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Machine Learning-Based Prediction of Complete Childhood Immunization in Nigeria using the 2023–24 NDHS dataset. This project compares 11 ML models and uses a tuned Random Forest with SHAP analysis to identify key predictors of immunization coverage.
Secondary analysis of the 2024 Nigeria Demographic and Health Survey (NDHS) investigating the prevalence and socioeconomic determinants of overweight and obesity among women of reproductive age using Python.