loan-risk-predictor 0.1.7

A package to predict loan risk using a decision tree model.

Loan Risk Predictor

A Python package to predict loan default risk based on applicant data. This project is built from a Kaggle notebook and structured as an installable PyPI package.

Features

• Data preprocessing including cleaning, encoding, and scaling.
• A Decision Tree classification model for risk prediction.
• A simple pipeline to load data and train the model.

Installation

You will be able to install this package from PyPI:

pip install loan-risk-predictor

How to Use

After installation, you can run the training pipeline directly from the command line:

python -m loan_risk_model.train

Project Structure

loan-risk-predictor/ │ ├── loan_risk_model/ │ ├── data/ │ │ └── training.csv │ ├── init.py │ ├── data_preprocessing.py │ ├── model.py │ └── train.py │ ├── notebooks/ │ └── Your-Kaggle-Notebook.ipynb │ └── ... (packaging files)