Data Science, Linear Regression, Machine Learning, Python, Numpy.
number of observations) • X is a matrix of size (m, n+1) (where n is the number of input features) • b is a column vector of size (n+1, 1) (which contains the bias term and coefficients) This matrix notation is important because it allows you to easily perform linear regression on multiple input