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@sanja
Hi, I am Simran Shaikh. I’ve been reviewing the project as part of my contribution to GSSoC Extended 24 and noticed that Loan Default Prediction one of the most important topic that must be added in Prediction models.
The Loan Default Prediction project aims to identify whether a customer is likely to default on their loan repayments using machine learning models. By analyzing features such as income, credit history, loan amount, and repayment history, models .This project is highly useful in the financial sector today, helping banks and lending institutions minimize losses by assessing creditworthiness more accurately, reducing the risk of non-performing loans, and making better lending decisions that can improve financial stability and customer targeting.
If you like my proposal , assign me work.
Thank you for your time and consideration!
Use Case
Loan Pricing and Interest Rates:
Early Warning Systems
Debt Collection Prioritization
Fraud Detection
Benefits
Reduced Financial Losses
Improved Lending Decisions:
Personalized Loan Terms:
Add ScreenShots
No if @sanjay-kv assign me work i will do it and i will added while making PR .
Priority
High
Record
I have read the Contributing Guidelines
I'm a GSSOC'24 contributor
I want to work on this issue
The text was updated successfully, but these errors were encountered:
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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Is there an existing issue for this?
Feature Description
@sanja
Hi, I am Simran Shaikh. I’ve been reviewing the project as part of my contribution to GSSoC Extended 24 and noticed that Loan Default Prediction one of the most important topic that must be added in Prediction models.
The Loan Default Prediction project aims to identify whether a customer is likely to default on their loan repayments using machine learning models. By analyzing features such as income, credit history, loan amount, and repayment history, models .This project is highly useful in the financial sector today, helping banks and lending institutions minimize losses by assessing creditworthiness more accurately, reducing the risk of non-performing loans, and making better lending decisions that can improve financial stability and customer targeting.
If you like my proposal , assign me work.
Thank you for your time and consideration!
Use Case
Loan Pricing and Interest Rates:
Early Warning Systems
Debt Collection Prioritization
Fraud Detection
Benefits
Reduced Financial Losses
Improved Lending Decisions:
Personalized Loan Terms:
Add ScreenShots
No if @sanjay-kv assign me work i will do it and i will added while making PR .
Priority
High
Record
The text was updated successfully, but these errors were encountered: