Recode-Hive / machine-learning-repos

A curated list of awesome machine learning frameworks, libraries and software (by language). I
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💡[Feature]: Predict credit defaults with random forest using Python #450

Closed itsrealkarthik closed 23 hours ago

itsrealkarthik commented 5 days ago

Is there an existing issue for this?

Feature Description

A project focused on building an ML algorithm for Predicting credit defaults

Use Case

Say you work for a company that provides car loans with interest rates. Recently, loan underwriters have been issuing a significant number of loans that end up defaulting. As a result, there’s a need to improve the underwriting process. To address this issue, using a random forest algorithm to enhance the accuracy and reliability of loan approvals.

Benefits

No response

Add ScreenShots

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Priority

High

Record

github-actions[bot] commented 5 days ago

Thank you for creating this issue! 🎉 We'll look into it as soon as possible. In the meantime, please make sure to provide all the necessary details and context. If you have any questions reach out to LinkedIn. Your contributions are highly appreciated! 😊

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itsrealkarthik commented 3 days ago

@sanjay-kv I'm ready to work on this. Can you please assign it to me?

github-actions[bot] commented 23 hours ago

Hello @itsrealkarthik! Your issue #450 has been closed. Thank you for your contribution!