HillalXD / Loan-eligible-prediction

Loan eligible prediction

This project use to predict is Loan get approved or not based on applicant condition

Install

This project requires Python and the following Python libraries installed:

• NumPy
• Pandas
• matplotlib
• seaborn
• scikit-learn
• imblearn
• streamlit

Usage

first, you can clone this git repository

git clone https://github.com/HillalXD/Loan-eligible-prediction.git

then navigate your command to this directory

cd Loan-eligible-prediction

after that run streamlit-loan.py to use streamlit app

streamlit run streamlit-loan.py

Code

• Template code is provided in the loan.ipynb notebook file.
• loan-dataset.csv is provide data source for training model
• streamlit-loan.py is streamlit web application to user input features for model predicting loan approval

Dataset features

for doing prediction you need to input this features:

features	explanation
gender	user applicant gender
married	is applicant has married or not
dependents	is applicant has dependent or not
education	is applicant has graduate or not
Applicant income	total applicant income
loan amount	total applying amount
property_area	apllicant property type (rural, semiurban, urban)
credit_history	1 if good and 0 if bad history