Feature Engineering

Feature Engineering is a powerful technique to augment your data set with 'derived facts' based on the current data sets.  These features typically fall into two categories:

• Structured Data (Numerical fields, dates, master data)
• Unstructured Data (Textual Data sets)

The fundamentals are the same - you are adding new columns of data from which the models can use to help see if there is correlations/patterns that help one answer your question at hand.