Computational Thinking, Python, Linear Algebra, Linear Regression, Jupyter Notebook.
'Time', t) df.set_value(name, 'Error', regr_metrics(b, A @ coeffs)[0]) df Comparison Our results from above: df Normal equations/Cholesky is fastest when it works. Cholesky can only be used on symmetric, positive definite matrices. Also, normal equations/Cholesky is unstable for matrices with high