Data Science, Linear Regression, Machine Learning, Python, Numpy.
iterations is the number of times the gradient descent algorithm will update the coefficients. More iterations may result in a better solution but can also increase the risk of overfitting the training data. Stopping conditions are used to determine when to stop the gradient descent algorithm.