Deep Learning By Example

Derived features

In the previous section, we applied some transformations to the Titanic data in order to be able to use the random forest classifier of scikit-learn (which only accepts numerical data). In this section, we are going to define another type of variable, which is derived from one or more other features.

Under this definition, we can say that some of the transformations in the previous section are also called derived features. In this section, we will look into other, complex transformations.

In the previous sections, we mentioned that you need to use your feature engineering skills to derive new features to enhance the model's predictive power. We have also talked about the importance of feature engineering in the data science ...