One of the main aims of policing making is to make smart and efficient decisions in terms of resource and capital allocation which benefits large populations. It is always a comparison between initial investment to long trend usage and benefits. Policing has driven public-sector machine learning because law enforcement has significant planning and resource allocation questions. In this assignment, we look at the intersection of public sector planning and data science to ensure that the supply of a limited resource matches the demand for those resources. There are many traditional methods that exist but none have been proven effective.
palakagr/Risk-Modeling---Predicitve-Policing
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