Data Science, Linear Regression, Machine Learning, Python, Numpy.
rate. The learning rate is a hyperparameter that determines how much the coefficients should be updated in each iteration. The key parameters in gradient descent are the learning rate, the number of iterations, and the stopping conditions. The learning rate determines the step size of the gradient