Data Science, Factor Analysis, Data, Machine Learning, Statistics.
but in a dataset with hundreds or even thousands of features, we need to be more cautious. In a dataset with a large number of features, we need to be sure that a feature is redundant or noise before removing it. We might be removing important information about the data without knowing. We should