Eigenvectors, Principal Component, Dimensionality Reduction, Data Science, Unsupervised Learning.
As they are uncorrelated it solves the problem of multicollinearity. Let us now understand the working of Principal Component Analysis with an example The working of PCA has been divided into 6 sub-sections. 1.Preprocessing Data 1.For ease of understanding consider a data set with 2 features