Project: Loan Default Prediction In Peer-To-Peer Lending

Install

This project requires Python 2.7 and the following Python libraries installed:

• NumPy
• Pandas
• matplotlib
• scikit-learn

You will also need to have software installed to run and execute a Jupyter Notebook

If you do not have Python installed yet, it is highly recommended that you install the Anaconda distribution of Python, which already has the above packages and more included. Make sure that you select the Python 2.7 installer and not the Python 3.x installer.

Code

Template code is provided in the notebook loan_default_prediction.ipynb notebook file.

Run

In a terminal or command window, navigate to the top-level project directory Loan-Default-Prediction/ (that contains this README) and run one of the following commands:

jupyter notebook loan_default_prediction.ipynb

or

ipython notebook loan_default_prediction.ipynb

This will open the Jupyter Notebook software and project file in your web browser.

Data

The dataset used in this project is included as LoanStats3a.csv and the data dictionary is LCDataDictionary.xlsx. This dataset is provided by Lending Club.