Pca, Principal Components, Dimensionality Reduction, Eigenvectors, Eigenvalue.
Remember this point because this is not a coincidence. But where is the slope? m1 = y/x = 0.871765/0.489925 = 1.779384 m2 = -0.48993/0.871765 = -0.56199 At last, we are left with PCA.explained_variance_. In the x_pca, we have got two variables as output PC1 and PC2. Take the variance and you will