Deep Credit Risk: Machine Learning with Python
by Harald Scheule, Daniel Rösch
Deep Credit Risk: Machine Learning with Python introduces the application of machine learning and Python to credit risk analysis. Harald Scheule and Daniel Rösch present a focused resource for readers interested in modern, data-driven approaches to finance, lending, and risk management.
About This Book
Deep Credit Risk: Machine Learning with Python examines the intersection of credit risk and machine learning.
Written by Harald Scheule and Daniel Rösch, the book focuses on applying Python within the context of credit risk analysis.
It is suited to readers seeking a practical introduction to data-driven methods in finance and lending.
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