LLM4Data is a Python library designed to facilitate the application of large language models (LLMs) and artificial intelligence for development data and knowledge discovery.
Predicting Human Development Index using World Development Indicators and UNDP Data
WorldDev Visual Exploration: an online application to visually explore World Development Indicators.
K-Means clustering app grouping 150+ countries by development level using World Development Indicators - built with Python, Scikit-learn, PCA and Streamlit
The World Development Indicators project analyzes the relationship between CO2 emissions and GDP, exploring their correlation and impact on sustainable development. The study uses global data to assess how economic growth affects environmental sustainability.
Does life expectancy depend on GDP? A case study using World Development Indicators (WDI) of India.
Do Wealthier Populations Live Longer? A series of visualizations using World Bank development data to explore how GDP per Capita predicts life expectancy across the world.
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