Feature extraction is the method in machine learning that extracts meaningful and pertinent data from unstructured data. By performing feature extraction, the complexity of the data is reduced while the crucial details required for accurate prediction are maintained. Overall, feature extraction is an essential step in many machine learning applications.
If you are interested in learning more about feature extraction, check out the below video by Intellipaat. In this video, you will learn about what feature extraction is, its importance, why to use it, and how to implement it in R programming.