6. Applied Topics

Capstone Project — Quiz

Test your understanding of capstone project with 5 practice questions.

Practice Questions

Question 1

In a data science capstone project, what is typically the first step in the end-to-end process after defining the problem statement?

Question 2

Which of the following is the best example of a reproducible report in a data science capstone project?

Question 3

When evaluating the performance of a regression model in a capstone project, which metric is most appropriate to measure the average magnitude of errors in the same units as the target variable?

Question 4

Suppose you have collected a dataset with 10,000 rows and 50 features for your capstone project. You decide to perform Principal Component Analysis (PCA) for dimensionality reduction. If the first two principal components explain 85% of the variance, how many principal components would you need to explain at least 95% of the variance, assuming a typical decay in eigenvalues?

Question 5

In a capstone project involving a classification problem, you trained a logistic regression model. The model has a precision of 0.85 and a recall of 0.60. What is the F1-score of this model?