PROSPER LOAN DATA ANALYSIS

This is a project aimed at investigating customer's data for a loan company known as prosper and to gather key insights from the dataset using appropriate visualizations. 

These visualizations helped to answer the research questions as formulated for the main variables of interest:

1. What factors affect a loan's outcome status?

2. What factors affects the borrower's APR or interest rate?

3. To identify if there are differences between loans depending on how large the original loan amount was.

Key Insights were garnered from the analysis and appropriate report and cdocumentation created to portray these insights.

See full documentation of project on GitHub or Kaggle

See Project slides below.