Chapter 2: Your Machine Learning Project
The approach of this book is to iterate through a practical business project – namely, stock market prediction – and, with this use case, explore through the different chapters the different features of MLflow. We will use a structured approach to frame a machine learning problem and project. A sample pipeline will be created and used to iterate and evolve the project in the remainder of the book.
Using a structured framework to describe a machine learning problem helps the practitioner to reason more efficiently about the different requirements of the machine learning pipeline. We will present a practical pipeline using the requirements elicited during framing.
Specifically, we will cover the following sections in this chapter:
- Exploring the machine learning process
- Framing the machine learning problem
- Introducing the stock market prediction problem
- Developing your machine learning baseline...
