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country-analysis

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SQL demographic analysis project exploring CIA World Factbook data using SQL queries, aggregations, subqueries, and statistical analysis to examine population trends, population density, growth rates, and global country-level demographic patterns.

  • Updated May 7, 2026
  • Jupyter Notebook

End-to-end ML pipeline for country-level environmental assessment: PCA (87.7% variance), K-Means clustering (ARI=1.000), XGBoost (0.986 AUC), ABR-SHAP feature importance, and Pareto counterfactual optimization.

  • Updated May 8, 2026
  • Jupyter Notebook

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