https://github.com/revogati/loan_approval_model

I used data from loan applicants to develop a Machine Learning model that determines the possibility of an applicant's loan approval. I first did visualizations to understand the data . It comprises of both numerical and categorical data whereby I used encoding to transform the categorical data to numerical to allow an all mathematical system.
https://github.com/revogati/loan_approval_model

Last synced: about 2 months ago
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I used data from loan applicants to develop a Machine Learning model that determines the possibility of an applicant's loan approval. I first did visualizations to understand the data . It comprises of both numerical and categorical data whereby I used encoding to transform the categorical data to numerical to allow an all mathematical system.

• Host: GitHub
• URL: https://github.com/revogati/loan_approval_model
• Owner: REVOgati
• Created: 2023-07-11T16:07:12.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-07-13T13:01:09.000Z (almost 2 years ago)
• Last Synced: 2025-01-07T23:48:49.921Z (4 months ago)
• Language: Python
• Size: 30.3 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# loan_approval_system

I used data from loan applicants to develop a Machine Learning model that determines the possibility of an applicant's loan approval. I first did  visualizations to understand the data . It comprises of both numerical and categorical data whereby I used encoding to transform the categorical data to numerical to allow an all mathematical system.