Suppose we are trying to implement an ML model to capture a highly nonlinear relationship between two variables. Which of the following options does not improve the model’s ability to capture nonlinearities?

What is the last element of x?x = np.linspace(0, 0.4, 9)

Which of the following statements is true according to the passage?

Using the following graph, find an Euler circuit that begins and ends with vertex B.

For the following floor plan, is it possible to find a route that begins in one room, passes through each doorway exactly once, and ends in the starting room?

What is the length of the following array? x = np.linspace(-1, 7, 23)

Consider the following code that we used to classify the income of adults in the US.inputs = tf.keras.layers.Dense(units=32, activation=’relu’, input_shape=[len(features.columns)]) hidden = tf.keras.layers.Dense(units=32, activation=’relu’) outputs = tf.keras.layers.Dense(units=2, activation=TO BE FILLED) model = tf.keras.Sequential([inputs, hidden, outputs]) loss = ‘sparse_categorical_crossentropy’ optimizer = tf.keras.optimizers.RMSprop(0.001) model.compile(loss=loss, optimizer=optimizer, metrics=[‘accuracy’])What was the activation function used on the output layer in this deep neural network?

Which of the following is the relationship within sentence 11?

Which of the following is the relationship between sentences six and seven?

Assume we download the stock price of Tesla using the command  startdate = ‘2019-01-01’ enddate = ‘2021-01-01’ tesla = web.get_data_yahoo(“TSLA”, startdate, enddate)tesla Date Open High Low Close Adj Close Volume 2019-01-02 61.220001 63.026001 59.759998 62.023998 62.023998 58293000 2019-01-03 61.400002 61.880001 59.476002 60.071999 60.071999 34826000 2019-01-04 61.200001 63.599998 60.546001 63.537998 63.537998 36970500 2019-01-07 64.344002 67.348000 63.549999 66.991997 66.991997 37756000 2019-01-08 68.391998 68.802002 65.403999 67.070000 67.070000 35042500   Which of the following commands is a valid command to select the “Adj Close” column?