Machine Learning, Linear Regression, Gradient Descent, Python, Stochastic Gradient.
as predicted coefficients. This is to minimize noise since the last generated coefficients can either be very good or bad depends on that particular sample. for stepsize_i in stepsize: gradient_vector_length = [] b0_sgd = [] b1_sgd = [] # inital stepsize, b0, b1, gradient b0 / b1 at iteration 0