Linear Regression Basics: Gradient Descent & Feature Standardization with PyTorch
This tutorial introduces linear regression fundamentals, explaining features, labels, weights, bias, and mean squared error loss, then demonstrates gradient descent optimization in PyTorch, reveals how unscaled features break convergence, and shows feature standardization fixing the problem.
