2
Machine Learning Refresher
Machine learning (ML) is much more than just models. It is about following a certain process and best practices. This chapter will provide a refresher on these: from loading data and model evaluation to model training and optimization, the main steps and methods will be explained here.
In this chapter, we are going to cover the following main topics:
- Loading data
- Splitting data
- Preparing quantitative data
- Preparing qualitative data
- Training a model
- Evaluating a model
- Performing hyperparameter optimization
Even though the recipes in this chapter are independent from a methodological standpoint, they build upon each other and are meant to be executed sequentially.
Technical requirements
In this chapter, you will ...
Get The Regularization Cookbook now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
