Analysis on The Prediction of Homeless using Machine Learning Algorithm

The analysis shows that the categories of homeless are including individual, people in families, chronically homeless individual and veterans. Public are only aware about homeless people’s welfare but not their different background. Previous research has relied on the traditional method where they collect qualitative data and lead to time consuming. We used data from the Housing and Urban Development Department (HUD) of US to analyse the number of homeless people in different urbanicity category.