Skip to main content

A model package to estimate loan amount suitable for a customer

Project description

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

  1. python = "^3.9"
  2. numpy = "^1.26.4"
  3. pandas = "^2.2.2"
  4. pydantic = "^2.7.3"
  5. scikit-learn = "^1.5.0"
  6. strictyaml = "^1.7.3"
  7. feature-engine = "^1.8.0"
  8. joblib = "^1.4.2"
  9. mlflow = "^2.13.2"
  10. ipykernel = "^6.29.4"
  11. hyperopt = "^0.2.7"
  12. scipy = "^1.13.1"
  13. loguru = "^0.7.2"

Source code link

Source code link: Github link

Snapshots

API Documentation 1 API Documentation 2 API Documentation 3

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

loan_amount_model_package-0.0.7.tar.gz (80.7 kB view hashes)

Uploaded Source

Built Distribution

loan_amount_model_package-0.0.7-py3-none-any.whl (83.8 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page