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Deep Learning with Python: A Hands-on Introduction

Column stack([numpy.power(x_train, i) for i in xrange(0, degree)]) model = numpy. dot(numpy. dot (numpy.linalg. inv'numpy. dot(X_train.transpose(), ...

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