Nunes, Luís CatelaSantos, Pedro Rodrigo Carvalhinho de Morais2024-10-072024-10-072023-01-232022-12-16http://hdl.handle.net/10362/173075This 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.engData scienceData engineeringDescriptive analysisPredictive analysisSuccessFirst cycle educationDentifying significant features for future success of elementary school students: a descriptive and predictive analysis researchmaster thesis203364716