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see how the gradient descent algorithm finds the best parameter values. 1. Step — 1: The input data is shown in the matrix below. Here, we can observe that there are 4 training examples and 2 features. Figure — 22: The input matrix 2. Step — 2: The expected output matrix is shown below. Our