To model the probability of a soccer coach leave his/her team during Campeonato Brasileiro for 10 chosen teams and considering years 2018, 2019 and 2020.
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Run 01_Manipul_dados.ipynb and 02_Manipul_dados.ipynb to process and organize data.
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Run 03_descritivas.ipynb for descriptive analysis.
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Run 04_Modelo.ipynb to fit a logistic regression model to the data.
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pandas
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numpy
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seaborn
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sklearn
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matplotlib
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altair
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Brasileirao Série A: from https://basedosdados.org/dataset/mundo-transfermarkt-competicoes
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Tecnicos: gotten manually from https://interativos.globoesporte.globo.com/futebol/rotatividade-dos-tecnicos/
This project was developed in Google colab and hence the code asks for Google Drive access.
December 13, 2021
- Larissa Sayuri Futino Castro dos Santos
- @amandaaudi
- @carinadourado
- @ingridyrs
- Meyrele Torres
- @victorfariassb
This project is part of the Machine Learning subject from Master em Jornalismo de Dados, Automação e Data Storytelling from INSPER.
Many thanks to @BurgosNY and Eduardo Colagrossi for the assistance.