Understand the global trends in investments so that we can make the investment decisions effectively.
-
Updated
Aug 23, 2019 - Jupyter Notebook
Understand the global trends in investments so that we can make the investment decisions effectively.
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.
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.
Add a description, image, and links to the country-analysis topic page so that developers can more easily learn about it.
To associate your repository with the country-analysis topic, visit your repo's landing page and select "manage topics."