O uso do aprendizado de máquina na instituição Unicesumar para descoberta de nota na disciplina Escola de TI

Abstract

The present work aims to present the study on the history of Machine Learning (ML), the main types and the applicability of an ML model, GaussianNB, based on Bayes' theorem. In this way, analyzing, filtering, understanding, applying and testing in a database of the years 2013, 2014, 2015, 2016 and 2019, of Information Technology (IT) courses at Unicesumar University, in the IT School discipline. Thus seeking a return of accuracy greater than 80%, referring to the approval of students with an average equal to or greater than 6.0 points, using the Python language with jupyter notebook and its appropriate libraries related to data science, Pandas, matplotlib, numpy and sklearn.