Dimensionality Reduction, Eigenvectors, Eigenvalue, Data Science, Machine Learning.
reduce the number of features if there are too many. As to make it good for computation and to avoid overfitting. Now comes the main thing, a technique that is very popular for this reduction of feature space is known as Principal Component Analysis (PCA). Here is the idea: I have a large set of