code: 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_tesf 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
docs: Load dataset, use boston dataset