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ETL process which downloads, transforms, and loads Freddie Mac/Fannie Mae mortgage data
Machine Learning project to assess the probability of default for Single Family homes in the United States
Analysis using R and tidyverse to compare borrower behavior and characteristics between the years 2007 and 2019, focusing on key financial metrics such as credit scores, interest rates, debt to income ratios, and loan to value ratios.