Question 71

You are a data scientist creating a linear regression model.
You need to determine how closely the data fits the regression line.
Which metric should you review?
  • Question 72

    You need to modify the inputs for the global penalty event model to address the bias and variance issue.
    Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

    Question 73

    You are creating a machine learning model in Python. The provided dataset contains several numerical columns and one text column. The text column represents a product's category. The product category will always be one of the following:
    * Bikes
    * Cars
    * Vans
    * Boats
    You are building a regression model using the scikit-learn Python package.
    You need to transform the text data to be compatible with the scikit-learn Python package.
    How should you complete the code segment? To answer, select the appropriate options in the answer area.
    NOTE: Each correct selection is worth one point.

    Question 74

    You need to define an evaluation strategy for the crowd sentiment models.
    Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

    Question 75

    You need to configure the Edit Metadata module so that the structure of the datasets match.
    Which configuration options should you select? To answer, select the appropriate options in the answer area.
    NOTE: Each correct selection is worth one point.