What is updated by gradient descent after each iteration?

What is updated by gradient descent after each iteration? Correct Answer Independent variables

The gradient descent algorithm updates the value of all the features. It is done in order to minimize the cost function. The change in the value of the independent variables depends on the learning rate.
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