gradient descend, working explained with a real-time example

Gradient descent is a first-order iterative optimization algorithm for finding the minimum of a function. Here we have tried to utilize gradient descent for minimizing the mean square error for linear regression. We have tried to show how effective is the algorithm for finding out the value of dependent variable which minimizes the Mean square error.

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