Python, Linear Regression, Correlation, Sklearn, Statistics.
loop, we generate predictions in the first step. y_pred = wX + b Prediction Method The next step is the gradient descent, we take the partial derivatives here. And finally, we update the weights and biases by multiplying derivatives with the learning rate in the __update_parameters method. Root