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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def plot_lc(d):
 """plot learning curve Arguments: d Returned by model function. Dictionary containing information about the model. """

    costs = np.squeeze(d['costs'])
    plt.plot(costs)
    plt.ylabel('cost')
    plt.xlabel('iterations (per hundreds)')
    plt.title("Learning rate =" + str(d["learning_rate"]))
    plt.show()