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Mental health at Nova SBE
| Nome: | Descrição: | Tamanho: | Formato: | |
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| 1.53 MB | Adobe PDF |
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Resumo(s)
This research tackles the understanding of the leading drivers affecting mental health amongst
Nova SBE students during Covid-19. The objective behind the study is to identify the groups of
students with the highest risk of suffering from poor mental health, in order to achieve measures
of prevention corresponding to where they may suffer the most. The dataset is composed of three
similar surveys forwarded to students in separate times of the academic year 2021-2022. I will be
using unsupervised clustering algorithms on the data to fixate newly formed groups of students
sharing the same similarity traits based on the frameworks of the surveys. The results will be
leveraged using analytical and descriptive techniques to serve the purpose of the study. The main
tool used in this research is Python programming language, mainly chosen for the implementation
of the material covered during my master’s degree, and for the flexibility of using the different
packages and libraries (Pandas, NumPy, Matplotlib, Scikit-learn).
Descrição
Palavras-chave
Mental health Students Clustering algorithms Prevention