https://github.com/NeilCollinsMS/Paycheck-Protection-Program-Analysis

This project aims to analyze trends in the Paycheck Protection Program and to generate predictive models based on demographics to predict the likelihood of receiving a loan.
https://github.com/NeilCollinsMS/Paycheck-Protection-Program-Analysis

paycheck-protection-program predictive-models r-programming tableau

Last synced: 9 days ago
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This project aims to analyze trends in the Paycheck Protection Program and to generate predictive models based on demographics to predict the likelihood of receiving a loan.

• Host: GitHub
• URL: https://github.com/NeilCollinsMS/Paycheck-Protection-Program-Analysis
• Owner: NeilCollinsMS
• Created: 2020-08-25T08:09:14.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2021-02-06T00:07:01.000Z (almost 4 years ago)
• Last Synced: 2024-08-13T07:14:23.406Z (4 months ago)
• Topics: paycheck-protection-program, predictive-models, r-programming, tableau
• Language: R
• Homepage:
• Size: 20.9 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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• jimsghstars - NeilCollinsMS/Paycheck-Protection-Program-Analysis - This project aims to analyze trends in the Paycheck Protection Program and to generate predictive models based on demographics to predict the likelihood of receiving a loan. (R)

README

        
# PPP-Analysis

This project aims to analyze trends in the Paycheck Protection Program and to generate predictive models based on demographics to predict the likelihood of receiving a loan.

Overarching Business Question: What factors played the largest roles in PPP loan distribution, and can I accurately predict maximum loan values given those factors?

Data Source: https://www.kaggle.com/susuwatari/ppp-loan-data-paycheck-protection-program

Packages: Tidyverse, ggplot2, tm, car (for VIF), MASS (for stepAIC)

Attempt 2 will make use of Data Cleaning in R and analysis in Sklearn