LOAN AMOUNT PREDICTION
A machine learning program that estimates the amount of loan to be issued as seen in the dataset given. This program uses a simple hist gradient boosting regressor algorithm to estimate the likely loan user should be eligible for.
Data set and its description
| Data | Description |
|---|---|
| Loan_ID | Unique loan request identifier |
| Gender | sex of the user |
| Married | Marital status |
| Dependents | Number of dependents |
| Education | if the candidate is graduate or not |
| Self_Employed | if the user is working for himself |
| ApplicantIncome | total income of the candidate |
| CoapplicantIncome | total income of the borrower's partner |
| LoanAmount | Amount requested |
| Loan_Amount_Term | in months |
| Credit_History | 1(okay or eligible), 0(Not eligible) |
| Property_Area | nature of where the borrower live |
| Loan_Status | if loan was granted or not |
Dependencies and packages
- python = "^3.9"
- numpy = "^1.26.4"
- pandas = "^2.2.2"
- pydantic = "^2.7.3"
- scikit-learn = "^1.5.0"
- strictyaml = "^1.7.3"
- feature-engine = "^1.8.0"
- joblib = "^1.4.2"
- mlflow = "^2.13.2"
- ipykernel = "^6.29.4"
- hyperopt = "^0.2.7"
- scipy = "^1.13.1"
- loguru = "^0.7.2"
Source code link
Source code link: Github link
Snapshots
Release files for loan_amount_model_package 0.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| loan_amount_model_package-0.0.7.tar.gz | 80.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| loan_amount_model_package-0.0.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 164.5 kB
Release files / loan_amount_model_package-0.0.7.tar.gz
| Download URL | loan_amount_model_package-0.0.7.tar.gz |
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| Size | 80.7 kB |
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Release files / loan_amount_model_package-0.0.7-py3-none-any.whl
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| Tags | Python 3 |
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