Course work of "STAT3612 Statistical Machine Learning" that uses the same dataset HELOC as the FICO Explainable Machine Learning Challenge. Please download the html version if the jupyter notebook cannot be properly displayed.
This competition focuses on an anonymized dataset of Home Equity Line of Credit (HELOC) applications made by real homeowners. A HELOC is a line of credit typically offered by a bank as a percentage of home equity (the difference between the current market value of a home and its purchase price). The customers in this dataset have requested a credit line in the range of $5,000 - $150,000. The fundamental task is to use the information about the applicant in their credit report to predict whether they will repay their HELOC account within 2 years. This prediction is then used to decide whether the homeowner qualifies for a line of credit and, if so, how much credit should be extended. The data are stored in file "HelocData.csv", while some descriptions are stored in "HelocDataDict.xlsx".
https://community.fico.com/s/explainable-machine-learning-challenge