4. ML Foundations I

4. ML Foundations I#

Translate a business question into a valid modeling problem.

/// Toward the goal

Before this session, work through Foundations for ML: returns, risk, benchmarks, financial and macro data, and the statistics the models use.

Coming soon

This chapter is being written. Chapter 1 shows the format every chapter will follow: objectives, concepts, runnable cells, an interactive explainer, a checkpoint quiz, and a Colab exercise.