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SMOTE-MR: A distributed Synthetic Minority Oversampling Technique (SMOTE) for Big Data which applies a MapReduce based-approach. SMOTE-MR is categorized as an `approximated/ non exact` solution. Also, there is an `exact` solution called SMOTE-BD written by the author (See: https://github.com/majobasgall/smote-bd)
The following is the code and data used to create a web app using streamlit and the python programming language. hopefully it can help and don't hesitate to be creative on LinkedIn, thank you
To give people an estimate of how much they need based on their individual health situation. After that, customers can work with any health insurance carrier and its plans and perks while keeping the projected cost from our study in mind. I am considering variables as age, sex, BMI, number of children, smoking habits and living region to predict.
Repositório relativo aos resultados obtidos no Trabalho de Conclusão de Curso: "Mapeamento de Corpos Arenosos Costeiros: 13 Anos de Detecção de Praias e Dunas Utilizando Aprendizagem de Máquina".