Linear Algebra, Numpy, Numpy Tutorial, Data Science, Python.
or library, the most common way of solving linear regression is via a least-squares optimization that is solved using matrix factorization methods from linear regression, such as an LU decomposition or a singular-value decomposition, or SVD. Even the common way of summarizing the linear regression