ayamlearning/SouthAfrica-COVID19-VulnerabilityMap-Challenge

The task was 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 with machine learning proved that it was possible to use easy-to-measure stats to identify areas most at risk even in years when census data is not collected. # SouthAfrica-COVID19-VulnerabilityMap-Challenge The task was 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 with machine learning proved that it was possible to use easy-to-measure stats to identify areas most at risk even in years when census data is not collected.