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Predicting Credit Card Approvals

Intermediate
4.8+
18 reviews
Updated 06/2024
Build a machine learning model to predict if a credit card application will get approved.
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PythonMachine Learning1 hour1 Task1,500 XP5,119

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Project Description

Predicting Credit Card Approvals

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.

Predicting Credit Card Approvals

Build a machine learning model to predict if a credit card application will get approved.
Start Project for Free
  • 1

    Build a model to predict credit card approvals.

Don’t just take our word for it

*4.8
from 18 reviews
83%
17%
0%
0%
0%
  • Jeffrey
    about 19 hours

  • Àngel
    4 days

  • Darrell
    4 days

    Great way to test your ability to understand Logistic Regression. Since these basics usually get clouded over in recipes, it's important to use the resources and to also recall regularization: Ridge (L2), Lasso(L1) and Elastic-net, to understand how penalties help to deal with the fitting the regression curve. Once that's done, along with preprocessing, and dealing with (imputing, missing values (NaN's, objects, or non-numerical values)), then you can also experiment with RandomSearchCV as well.

  • Roozbeh
    5 days

  • Samuel
    5 days

  • Safari
    6 days

    Quite testing for someone who finished the supervised machine learning course on Datacamp...applying tools and what I learned is the only way to reinforce and grow in this field

Jeffrey

Àngel

Roozbeh

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