Machine Learning, Data Science, Programming.
eigenvalues and eigenvectors of this matrix give us new random vectors which capture the variance in the data. If one/or more of the eigenvalues is close to zero, we’ve identified collinearity in the data. Let’s take a look at this dataset: var: 1 0.00912520221242393847482787805347470566630363 var: