The Cities of Tomorrow – Urban Growth & Sustainability
This Notebook was created to explore how modern data science techniques can help us understand, evaluate, and predict the sustainability of future cities. Using a real-world–inspired dataset containing 3,476 observations and 16 urban, environmental, and socio-economic indicators, we walk through a full end-to-end analysis: from data cleaning to predictive modeling.
Why This Matters
Cities worldwide are growing at unprecedented rates. Understanding how different urban systems interact and how they impact sustainability is crucial for informed policy-making and responsible planning.
By combining EDA, machine learning, and narrative-driven explanation, this Notebook demonstrates how data science can:
- Diagnose environmental challenges;
- Support sustainable development goals;
- Guide infrastructure investment;
- Anticipate risks and opportunities;
- Inspire smarter and more equitable urban growth.
Notebook URL: Nov2025_SvitlanaKokhan_CitiesOfTomorrow.ipynb
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