A process that involves the following steps:[^1]

1. Determining which [features](/pages/Feature%20(machine%20learning.txt)) might be useful in training a model.
2. Converting raw data from the dataset into efficient versions of those features.

## Footnotes

[^1]: https://developers.google.com/machine-learning/glossary#feature_engineering