Created
May 6, 2018 09:30
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| def _gradient_descent(self,X, y, theta, alpha, iterations): | |
| for i in (iterations): | |
| theta = theta - (alpha/len(X)) * np.sum((X @ theta.T - y) * X, axis=0) | |
| cost = self.cost_calculation(X, y, theta) |
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