she-osprey/IPWK10-CORE-ZINDI-COVID-HACKATHON

ZINDI - HACKATHON: The task is to predict the percentage of households that fall into a particularly vulnerable bracket - large households who must leave their homes to fetch water - using 2011 South African census data. Solving this challenge will show that with machine learning it is possible to use easy-to-measure stats to identify areas most at risk even in years when census data is not collected.

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