Advantages of feature engineering

Feature Engineering Example: Continuous data It can take any values from a given range. For example, it can be the price of some product, the temperature in some industrial process or coordinates of some object on the map. Feature generation here relays mostly on the domain data.

Process of Feature Engineering

Feature engineering involves leveraging data mining techniques to extract features from raw data along with the use of domain knowledge. Feature engineering is useful to improve the performance of machine learning algorithms and is often considered as applied machine learning .15 Nis 2020