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Should This Loan be Approved or Denied?

For this case-study assignment, students assume the role of loan officer at a bank and are asked to approve or deny a loan by assessing its risk of default using ML.


UNDER CONSTRUCTION



Stage Description Output Working Docs / Notebooks
Project Setup Project proposal and High level planning - Project Proposal - High level planning docs
ETL I Data Adquisition, Inspection of the structure and EDA Primary Data Report
Tableau: EDA Insights
- Data Understanding
- Conceptualization as Database
- Data Preprocess
- EDA: Univariate
- EDA: Bivariate
- EDA: Multivariate
ETL II Data Imputation, Data Enrichment & Feature Engineering XXXX Report
Tableau: Primary Insights
- Data Imputation: Geographic Data
- Data Enrichment: Recession
- Feature Engineering
Models Exploration of diverse data models Conceptual Web App
Final Report
- Factor Analysis
- Support Vector Machines
- Logistic
- Clusterings
- Random Forest
- Necessary Condition Analysis
- Interpretable Rules: Bayesian Networks


Aditional Data And Furter Reading:

  1. Find a Location by Address
  2. Rural-Urban Commuting Area Codes USDA
  3. MySQL Function to remove accents and special characters
  4. La Sierra Tarahumara, epicentro del suicidio en México
  5. Local Spatial Autocorrelation (tecnica de Tarahumaras)
  6. https://www.slideshare.net/POOJAPATIL211/should-this-loan-be-approved-or-denied
  7. https://www.sciencedirect.com/science/article/abs/pii/S0020025515002960
  8. https://analyticsindiamag.com/a-guide-to-inferencing-with-bayesian-network-in-python/
  9. https://github.com/hayesall/bn-rule-extraction
  10. Probabilistic Approach to Extract Qualitative Knowledge
  11. https://saturncloud.io/blog/evaluating-logistic-regression-with-crossvalidation/
  12. https://github.com/stelladeecoder/sba_dataset/blob/main/sba.ipynb
  13. feature engineering

Exercise Proposed & published by:
Min Li, Amy Mickel, and Stanley Taylor
College of Business Administration, California State University, Sacramento, CA
-
JOURNAL OF STATISTICS EDUCATION
2018, VOL. 26, NO. 1, 55–66
https://doi.org/10.1080/10691898.2018.1434342