Built supervised, unsupervised and deep learning models to classify days as pleasant or unpleasant using historical weather data. The goal was to support ClimateWins in developing tools to improve disaster preparedness and inform climate policy.
Built supervised, unsupervised and deep learning models to classify days as pleasant or unpleasant using historical weather data. The goal was to support ClimateWins in developing tools to improve disaster preparedness and inform climate policy.