Machine Learning, Python, Linear Regression, Gradient Descent, Regression Analysis.
linear regression equation. This algorithm updates the model’s parameters iteratively, one sample (or one batch) at a time, based on the gradient of the loss function at each step. This makes SGD models computationally efficient and able to handle large datasets. We can find some reasons to use SGD