Which of the following is a common technique for feature selection?

Which of the following is a common technique for feature selection?

Step 1: Understand what feature selection means. It is the process of choosing important variables (features) from your data.
Step 2: Learn about Principal Component Analysis (PCA). It is a technique used to reduce the number of features in your data.
Step 3: Know that PCA works by transforming the original features into a smaller set of new features called principal components.
Step 4: Understand that PCA keeps the most important information (variance) from the original data while reducing the number of features.
Step 5: Recognize that PCA is commonly used in data analysis and machine learning for feature selection.

No concepts available.