Premium project
Predicting Credit Card Approvals
Build a machine learning model to predict if a credit card application will get approved.
Start Project1 Tasks1,500 XP
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Project Description
Commercial banks receive a lot of applications for credit cards. Many of them get rejected for many reasons, like high loan balances, low income levels, or too many inquiries on an individual's credit report, for example. Manually analyzing these applications is mundane, error-prone, and time-consuming (and time is money!). Luckily, this task can be automated with the power of machine learning and pretty much every commercial bank does so nowadays. In this project, you will build an automatic credit card approval predictor using machine learning techniques, just like the real banks do.
The dataset used in this project is the Credit Card Approval dataset from the UCI Machine Learning Repository.
Project Tasks
- 1Build a model to predict credit card approvals.
Technologies
Python
Topics
Machine LearningMaarten Van den Broeck
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Senior Content Developer at DataCamp
Maarten is an aquatic ecologist and teacher by training and a data scientist by profession. He is also a certified Power BI and Tableau data analyst. After his career as a PhD researcher at KU Leuven, he wished that he had discovered DataCamp sooner. He loves to combine education and data science to develop DataCamp courses. In his spare time, he runs a symphonic orchestra.