Using Deep Neural Networks to Predict Failure and Dropout Rates in El Salvador Schools

Jeremy Swack | Oct. 6, 2021, 9:28 a.m.

Overview

For the Spring 2021 semester, I developed a data analytics project that examines the El Salvador education system. Using neural networks, I created two models that predict failure and dropout rates in primary and secondary schools, as well as determine the most important factors that lead to these rates. Before examining and discussing the data I used for this project, it is important to understand the differences between education in the United States and El Salvador.

Background

Education in El Salvador is broken down into two distinct categories, primary education, which correlates to about 1st through 9th grade, and …

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