Question: Which of the following is an example of unsupervised learning in feature engineering?

Options:

1. Using labeled data to train a model
2. Clustering similar data points to identify patterns
3. Predicting outcomes based on historical data
4. Using regression analysis to find relationships

Correct Answer: Clustering similar data points to identify patterns

Solution:

Clustering similar data points is an example of unsupervised learning, where the model identifies patterns without labeled outcomes.