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Companies invest lots of time and money developing risk models to figure out which customers are the best bets for loans and credit. Operationalizing these models, developed in tools like Excel, SAS, Python, and R, in risk decisioning processes often turns out to be really hard. […] Read more >>
One increasingly popular application of Python is in credit risk modeling. Many brilliant data scientists and analysts wrangle the usability of Python to implement machine learning and deep learning algorithms. […] Read More >>