A fine-tuned random forest model categorized global disaster events into impact classes using spatiotemporal and contextual data available at initial reporting.

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...