alifrmf/Country-Profiling-Using-PCA-and-Clustering

Unsupervised Machine Learning Analysis Using Clustering Model

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This helps humanitarian organizations group countries with similar economic, health, and social characteristics. You input a dataset containing various country-level indicators, and it outputs clusters of countries that share common traits. International aid strategists, analysts, and relief organizations can use this to make informed decisions about resource allocation.

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Use this if you need to objectively categorize countries based on their developmental status for strategic planning or aid distribution, especially without predefined categories.

Not ideal if you already have clear categories or labels for countries and want to predict which category new countries fall into.

humanitarian-aid international-development country-analysis resource-allocation strategic-planning
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 10 / 25

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Language

Jupyter Notebook

License

MIT

Last pushed

Jul 10, 2023

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