Skip to main content
HomePython

project

Predicting Credit Card Approvals

Intermediate
Updated 06/2024
Build a machine learning model to predict if a credit card application will get approved.
Start Project for Free

Included withPremium or Teams

1 Task1,500 XP3,397

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.
Group

Training 2 or more people?

Try DataCamp for Business

Project Description

Commercial banks process numerous credit card applications and often need to reject them. In this project, you'll use supervised machine learning techniques to automate this process, making it an efficient and cost-effective solution for banks.

Project Tasks

  1. 1
    Build a model to predict credit card approvals.

Technologies

Python Python

Topics

Machine Learning

Prerequisites

Supervised Learning with scikit-learn
Maarten Van den Broeck HeadshotMaarten Van den Broeck

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.
See More

FAQs

What do other learners have to say?