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eigenvectors and eigenvalues. Eigenvectors represent directions of maximum variance, and eigenvalues indicate the magnitude of variance in those directions. Python Code: # Eigendecomposition eigen_vals, eigen_vecs = np.linalg.eig(cov_matrix) In the context of Principal Component Analysis (PCA),