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Dissertation/ Thesis

Sistema de predicción del rendimiento académico de matemáticas en instituciones educativas públicas utilizando el algoritmo Support Vector Machine ; Prediction system for mathematics academic performance in public educational institutions using the Support Vector Machine algorithm

  • Authors : Espejo Villaizan, Daniel Derek

Subjects: Failure to timely identify students who may have difficulties in Mathematics can jeopardize their approval of the subject and proper learning of the necessary competencies for future professional development. This work proposes a system for predicting student performance before and during the course in two classes: "approved" and "failed". The system is based on a 3-phase working approach. The first phase is Data Analysis and Selection; where after reviewing the literature2

  • Source: Universidad Peruana de Ciencias Aplicadas (UPC) ; Repositorio Académico - UPC

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