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Am I At Risk empirically identifies the user's most susceptible diseases using a machine learning automated-linear regression model and historical government data.
A fully-functional web application designed to diminish the prevalence of food insecurity around the world through food redistribution.
Ontario basketball athletes are often overlooked due to inaccessibility in statistical analysis of the players. With our project, scouts can easily look at top performing players around the province
