True or False: Feature Engineering is often one of the most valuable tasks a data scientist can do to improve model performance, for three main reasons:
- You can isolate and highlight key information, which helps your algorithms “focus” on what’s important.
- You can bring in your own domain expertise.
- Once you understand the “vocabulary” of feature engineering, you can bring in other people’s domain expertise.
