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global-data

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Machine learning project clustering countries based on socio-economic & demographic indicators using K-Means, iterative imputation & feature scaling.

  • Updated Nov 10, 2025
  • Python

A comprehensive 📊Tableau dashboard project analyzing the 🗺️World Happiness Report (2015-2023) with 📈interactive visualizations exploring regional patterns, economic impacts, and social factors influencing global🔢 happiness scores.

  • Updated Feb 28, 2026

This paper summarizes our preliminary EDA analysis on the provided dataset by the US State Government working with the UN. Here we researched and analyzed a specific area of UN internal committee meetings as requested by a U.S Embassy. We produced recommendations and presented our solutions contributing to the formulation of U.S. foreign policy.

  • Updated Aug 19, 2021
  • R

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