Welcome
In this book we’ll cover supervised models by using the tidymodels
framework, which is a collection of R packages for modeling and machine learning using tidyverse principles.
Within supervised models, there are two main sub-categories:
- Regression predicts a numeric outcome.
- Classification predicts an outcome that is an ordered or unordered set of qualitative values.
Furthermore, we follow the data science lifecycle process proposed by Wirth and Hipp (2000):
To learn more about this data science lifecycle framework, review this presentation about CRISP-DM.
License
This online work is licensed under a Creative Commons Attribution-ShareAlike 4.0 Internationale.