Publicação
Dentifying significant features for future success of elementary school students: a descriptive and predictive analysis research
| datacite.subject.fos | Ciências Sociais::Economia e Gestão | pt_PT |
| dc.contributor.advisor | Nunes, Luís Catela | |
| dc.contributor.author | Santos, Pedro Rodrigo Carvalhinho de Morais | |
| dc.date.accessioned | 2024-10-07T09:22:24Z | |
| dc.date.available | 2024-10-07T09:22:24Z | |
| dc.date.issued | 2023-01-23 | |
| dc.date.submitted | 2022-12-16 | |
| dc.description.abstract | 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. | pt_PT |
| dc.identifier.tid | 203364716 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10362/173075 | |
| dc.language.iso | eng | pt_PT |
| dc.relation | UID/ECO/00124/2013 | pt_PT |
| dc.subject | Data science | pt_PT |
| dc.subject | Data engineering | pt_PT |
| dc.subject | Descriptive analysis | pt_PT |
| dc.subject | Predictive analysis | pt_PT |
| dc.subject | Success | pt_PT |
| dc.subject | First cycle education | pt_PT |
| dc.title | Dentifying significant features for future success of elementary school students: a descriptive and predictive analysis research | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | A Work Project, presented as part of the requirements for the Award of a Master’s degree in Business Analytics from the Nova School of Business and Economics. | pt_PT |