https://github.com/kalebers/economic_analysis_data_science

Data Analysis Python project using economic data base to predict percentage of good and bad payers
https://github.com/kalebers/economic_analysis_data_science

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

Last synced: about 19 hours ago
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Data Analysis Python project using economic data base to predict percentage of good and bad payers

• Host: GitHub
• URL: https://github.com/kalebers/economic_analysis_data_science
• Owner: kalebers
• Created: 2021-01-18T20:18:17.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2024-12-24T10:26:14.000Z (29 days ago)
• Last Synced: 2024-12-24T11:42:54.935Z (29 days ago)
• Topics: data-analysis, data-science, machine-learning, pandas, python, scipy, sklearn-library
• Language: Jupyter Notebook
• Homepage:
• Size: 4.21 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Data_Science_Project

# Project made for 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 Eduardo Giovanini Marrega.

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