Using Python to Analyze Secondary School Student Alcohol Consumption and Their Academic Performance

Abstract

In this project, we use a data set about Portuguese student on two courses (Mathematics and Portuguese) which was  collected in University of Minho, Portugal. Our work intends to approach student addiction on alcohol in secondary  level using Python. The result shows that a good predictive accuracy can be achieved, provided that addiction of  alcohol can impact to the student performance. In addition, the result also provides the correlation between alcohol  usage and the social, gender and study time attributes for each student. As a direct outcome of our project, more  efficient solutions can be developed in order to pay more attention to the student and share how the alcohol impact  so badly in their life.