Pontifical Catholic University of Paraná
Computer Science
Data Science

Financial Credibility Analysis

Semester project

About

The financial credibility of a person is a factor used to determine whether a loan should be approved or not, and this is quantified by a “credit score”, which is calculated using a variety of factors, including past performance on debt obligations, profiling, amongst others. Machine learning has been widely applied to automate the development of effective credit scoring models over the years. In this project you shall assemble in teams to work on a credit scoring problem.

Goals

• Machine Learning Model
• Article

Requirements

• Follow the Federal Law of Brazil No. 12.414
• Same number of rows
• Reproducible probabilities

Key learnings

• Data Science
• Python
• Machine Learning
• Pandas
• Numpy
• Scikit-learn

Credits

Authors:

• Eduardo Nakatani
• Henrique Richa
• Marco Aurélio