Mathematics, Mathematics Education, Machine Learning, Data Science.
such a manner that we can easily separate the features without thinking about the dependence of one feature on another. But the question is, which features should we drop? We need some criterion to keep the best K features from the dataset. For PCA, we’ll choose the features that have a higher