Python Natural Language Processing

Feature selection

As I mentioned earlier, feature extraction and feature selection are a part of feature engineering, and in this section, we will look at feature selection. You might wonder why we are learning feature selection, but there are certain reasons for it and we will look at each of them. First, we will see basic understanding of feature selection.

Features selection is also called variable selection, attribute selection, or variable subset selection. Features selection is the process of selecting the best relevant features, variables, or data attributes that can help us develop more efficient machine learning models. If you can identify which features contribute a lot and which contribute less, you can select the most important ...