Lending-Club-Data-Analysis

A Decision Tree and Random Forest project

Lending Club connects people who need money (borrowers) with people who have money (investors). Hopefully, as an investor you would want to invest in people who showed a profile of having a high probability of paying you back. We will try to create a model that will help predict this.

• We will use lending data from 2007-2010 and be trying to classify and predict whether or not the borrower paid back their loan in full

Code Requirements

You can install Conda for python which resolves all the dependencies for machine learning.

Here are what some of the columns represent:

• credit.policy: 1 if the customer meets the credit underwriting criteria of LendingClub.com, and 0 otherwise
• fico: The FICO credit score of the borrower.

Execution

To run the code, use jupyter Notebook lendingClub.ipynb