USANDO O ALGORITMO K-MÉDIAS PARA CLASSIFICAR O PERFIL EMPREENDEDOR DOS ESTUDANTES DO INSTITUTO FEDERAL DO NORTE DE MINAS GERAIS (IFNMG) – CAMPUS MONTES CLAROS

This present study analyzes the entrepreneurial profile of the Computer Science and high school Technology students of the Instituto Federal do Norte de Minas Gerais (IFNMG) – campus Montes Claros. Given that the area of technology has as its main feature the innovation, leading to the emerging and rapid evolution of new markets and new ways of doing business, as well as the investment of the educational institution to develop an entrepreneurial profile in its students aiming that they leave the institution with competencies to act broadly in the labor market. The model used for the study, K-means, is an unsupervised machine-learning algorithm that groups individuals according to the study’s focus characteristics - being a very efficient modeling method for this type of analysis.