Hands-On Transfer Learning with Python

Feature engineering and extraction

Preprocessed and wrangled data reaches the state where it can be utilized by the feature engineering and extraction step. In this step, we utilize existing attributes to derive and extract context/use-case specific attributes or features that can be utilized by ML algorithms in the coming stages. We employ different techniques based on data types.

Feature engineering and extraction is a fairly involved step and hence is discussed in more detail in the later part of this chapter.