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Data Analysis Python project using economic data base to predict percentage of good and bad payers

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Data_Science_Project

Project made in Data Science Class at Pontifical Catholic University of Parana (PUCPR), hosted by Jean Paul Barddal, by the students André de Macedo Wlodkovski, João Vitor Borges, Kalebe Rodrigues Szlachta, Lucas Giovanini Marrega.

This project was intended to create knowledge about Data Science in a real world problem. In this case, analyze a economic data set to evaluate the probability of a person be a good or bad payer.

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Data Analysis Python project using economic data base to predict percentage of good and bad payers

python data-science machine-learning pandas scipy data-analysis sklearn-library

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