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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?

Contrast the code we used in the lecture with the one below that cannot be used in a classification problem.1)inputs = tf.keras.layers.Dense(units=32, activation=’relu’, input_shape=[numwords]) 2)hidden = tf.keras.layers.Dense(units=32, activation=’relu’) 3)hidden2 = tf.keras.layers.Dense(units=32, activation=’relu’) 4)outputs = tf.keras.layers.Dense(units=1, activation=’relu’) 5)model = tf.keras.Sequential([inputs, hidden, hidden2, outputs])6)model.compile(loss=loss, optimizer=optimizer, metrics=[‘accuracy’]) 7) history = model.fit(x_train, y_train, validation_split=0.2, epochs=16, batch_size=512, verbose=0)Which line prevent us from using the code above in a binary classification problem?

Phenol red is a _______________.

Which of the following examples is not an example of a nonlinear function?

Consider a portfolio with the following weights w and the expected return on each risky asset ER below. w = np.array([0.05, 0.03, 0.15, 0.32, 0.09, 0.07, 0.05, 0.13, 0.11]) ER = np.array([0.10, 0.02, 0.05, 0.03, 0.07, 0.055, 0.034, 0.017, 0.026]) Which of the following expressions represents the portfolio expected return in Python?    

Which pH indicator is present in a MSA plate?

Using the inoculated SIM tubes below, which tubes were inoculated with sulfur reducing bacteria.

When completing a MR-VP test, two tubes must be inoculated.

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 gives you the “Low” column?

Consider the function below f = lambda x: np.sqrt(x**2) + 3 * xWhat is the output of f(-1)?