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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 load_data():
    '''Load dataset, use boston dataset'''
    boston = load_boston()
    X_train, X_test, y_train, y_test = train_test_split(boston.data, boston.target, random_state=99, test_size=0.25)
    #normalize data
    ss_X = StandardScaler()
    ss_y = StandardScaler()

    X_train = ss_X.fit_transform(X_train)
    X_test = ss_X.transform(X_test)
    y_train = ss_y.fit_transform(y_train[:, None])[:,0]
    y_test = ss_y.transform(y_test[:, None])[:,0]

    return X_train, X_test, y_train, y_test