11. A training set is used for what?
- Data Visualization
- Predictive modeling
- Statistical analysis
- Descriptive modeling
12. A statistician calls a false-negative, a type I error, and a false-positive, a type II error.
- True
- False
13. The Data Understanding stage encompasses what?
- All activities related to constructing the dataset.
- Sorting the data.
- Transforming data
- Removing redundant data.
14. The Data Preparation stage involves what?
- Addressing missing values.
- Correcting invalid values and addressing outliers.
- Removing duplicate data.
- Formatting the data.
- All of the above
15. The final stages of the data science methodology are an iterative cycle between which of the different stages?
- Data Understanding, Data Preparation, Evaluation, and Modelling.
- Modelling, Evaluation, Deployment, and Feedback.
- Modelling, Evaluation, Data Understanding, Data Preparation, and Deployment.
- Modelling, Data Preparation, Deployment, and Feedback.
16. Deploying a model into production represents the beginning of an iterative process between;
- Feedback
- Model Refinement
- Redeployment
- All of the above
17. Select the correct sentence about the data science methodology as explained in the course.
- The data science methodology does not depend on a specific set of technologies or tools.
- The data science methodology always starts with Business Understanding.
- The data science methodology is an iterative process.
- All of the above
18. What do data scientists typically use for exploratory analysis of data and to get acquainted with it?
- They begin with regression, classification, or clustering.
- They use descriptive statistics and data visualization techniques.
- They use deep learning.
- They use support vector machines and neural networks as feature extraction techniques.