Predictive Models for Financial Risk

Predictive Models for Financial Risk is a short, practical course for financial analysts, interns, and early-career professionals who want to use supervised machine learning responsibly in finance. Many predictive models fail not because of poor algorithms, but because key workflow steps—data preparation, validation, or transparent communication—are skipped. In this course, you’ll learn how to follow a complete supervised learning workflow, from defining a predictive question to evaluating results. You’ll build and test a decision tree classifier in Python, apply it to financial data, and repo…