Identificación de patrones en base a información académica de estudiantes aplicando algoritmos de Aprendizaje Automático.

Abstract

Abstract: The main objective of this research is to analyze and explore how the algorithms of Machine learning can be used to extract useful knowledge from academic data sets. To achieve this goal, a wide variety of academic data from a group of students studying information technology. These data were used as input for several unsupervised algorithms, such as Grouping. An exhaustive data preprocessing process was carried out, which included cleaning of missing data, normalization of variables and selection of relevant characteristics. Subsequently, the learning algorithms were applied automatic to discover hidden patterns in the data.