Quiz #2_Data Science_Q2 (Module 6)

For predictive models, a test set, which is similar to – but independent of – the training set, is used to determine how well the model predicts outcomes. This is an example of what step in the methodology?

• Deployment

• Data preparation

• Model evaluation

• Analytic approach

What do data scientist usually use for exploratory analysis of data and to get acquainted with them?

• They use support vector machines and neural networks as feature extraction techniques.

• They begin with regression, classification, or clustering.

• They use descriptive statistics and data visualization techniques.

• They use deep learning.

Why should data scientists maintain continuous communication with business sponsors throughout a project? (Select all that apply)

• So that business sponsors can provide domain expertise.

• So that business sponsors can ensure the work remains on track to generate the intended solution.

• So that business sponsors can review intermediate findings.

• So that business sponsors can identify gaps in data collection.

Data scientists may frequently return to a previous stage to make adjustments, as they learn more about the data and the modeling.

• True

• False

What is the primary reason for not dividing patients with heart failure into controlled groups and treatment groups during the feedback phase?

• Lack of resources for managing controlled groups

• Ethical considerations

• Difficulty in monitoring patients

• Clinical management preferences

In the Deployment stage, once the model has been evaluated and the Data scientist is convinced that it will work, it will be used and subjected to the final test.

• True

• False

Which of the following are included in the ten (10) stages of Data Science Methodology? (Select multiple answers)

• Business understanding

• System Design

• Data preparation

• Model Training

• Market Research

At this stage, the data requirements are reviewed and a decision is made as to whether more or less data is required for the collection.

• Data preparation

• Data understanding

• Data collection

• Analytic approach

What activities are included in the process of Data Understanding? (Select multiple answers)

• Discovering initial insights about the data

• Visualizing the data

• Assessing data quality

• Gathering and analyzing feedback for assessment of the model’s performance