Unsupervised Learning Quiz

What you'll be asked

1. Which of the following best describes the primary goal of unsupervised learning?
2. A retail company wants to segment its customer base into distinct groups based on purchasing behavior to create targeted marketing campaigns. Which machine learning approach is most appropriate?
3. You are working with a high-dimensional dataset containing 500 features. You need to reduce the number of features while retaining as much information as possible to improve model performance. Which technique should you use?
4. In the context of K-Means clustering, what does the 'K' represent?
5. When applying Principal Component Analysis (PCA) to a dataset, why is feature scaling (standardization) generally considered a mandatory preprocessing step?

Answers and explanations come after you submit.