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plugging in the parameter values. Calculate the step sizes for each feature as : step size = gradient * learning rate. Calculate the new parameters as : new params = old params -step size Repeat steps 3 to 5 until gradient is almost 0. The “learning rate” mentioned above is a flexible parameter