https://github.com/salman-khan-mohammed/loan-default-prediction-and-customer-eligibility-assessment-utilising-historical-data-
Last synced: 3 months ago
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- Host: GitHub
- URL: https://github.com/salman-khan-mohammed/loan-default-prediction-and-customer-eligibility-assessment-utilising-historical-data-
- Owner: Salman-Khan-Mohammed
- Created: 2024-07-16T23:24:01.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-07-16T23:54:00.000Z (11 months ago)
- Last Synced: 2025-01-31T00:19:43.456Z (5 months ago)
- Language: Jupyter Notebook
- Size: 9.33 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Loan-Default-Prediction-and-Customer-Eligibility-Assessment-Utilising-Historical-Data-
Objective :
1. In this capstone project, we comprehensively analyse historical loan data extracted from
customers' banking records to refine the approval process. Our main goal is to provide
financial institutions with data-driven insights to identify optimal candidates for loan
approvals.
2. This project addresses the imperative need for more robust risk mitigation
strategies in the lending domain, offering a valuable contribution to the financial sector's
decision-making framework
3. In short we are going to predict if a customer will default a loan payment.