Duplicate from EngrSamad/LoanDefaulterPredicto
Browse filesCo-authored-by: Ab Dus Samad <EngrSamad@users.noreply.huggingface.co>
- .gitattributes +35 -0
- README.md +31 -0
- knn_mobel_jablib +0 -0
- model_card.json +8 -0
- nexus_bank_dataa.csv +101 -0
- requirements.txt +6 -0
.gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: mit
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pipeline_tag: tabular-classification
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metrics:
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- accuracy
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tags:
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- finance
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language:
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- en
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library_name: sklearn
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---
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# Nexus Bank Loan Default Prediction Model
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This is a machine learning model to predict loan defaulters for Nexus Bank.
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## Usage
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To use the model, you can input the salary and number of dependents of a customer, and it will predict whether they are likely to default on their loan.
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## Dependencies
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- pandas
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- numpy
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- seaborn
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- matplotlib
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- scikit-learn
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- gradio
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## Data Source
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The data used for training this model was obtained from Nexus Bank.
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knn_mobel_jablib
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Binary file (233 Bytes). View file
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model_card.json
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{
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"name": "Nexus Bank Loan Default Prediction Model",
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"description": "A machine learning model to predict loan defaulters for Nexus Bank.",
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"task": "Binary classification",
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"model_type": "K-Nearest Neighbors Classifier",
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"license": "MIT",
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"tags": ["loan prediction", "binary classification", "machine learning"]
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}
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nexus_bank_dataa.csv
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salary,dependents,defaulter
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100000,2,0
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requirements.txt
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pandas
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numpy
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seaborn
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matplotlib
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scikit-learn
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gradio
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