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Dentifying significant features for future success of elementary school students: a descriptive and predictive analysis research
| Nome: | Descrição: | Tamanho: | Formato: | |
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| 3.24 MB | Adobe PDF |
Orientador(es)
Resumo(s)
This work project arises from the research project "GPS4Success - EDULOG", focused
on the "early identification of students at risk of success/failure in the first cycle of basic
education" (Reis and Dinis 2018). Therefore, this project aims to identify patterns of academic
success/unsuccess in differing conditions of education, establishing attributes comparisons
between students. The structure of this project is proposed by (Microsoft 2022, The Team Data
Science Process lifecycle). Firstly, an introduction to the project's Motivation and a Business
Understanding of the project’s metrics. Then, the Descriptive Analysis of the data used for the
study. Next is debating the machine learning algorithms employed in Predictive Analysis.
Finally, a discussion of the results obtained and future objectives discussion.
Descrição
Palavras-chave
Data science Data engineering Descriptive analysis Predictive analysis Success First cycle education