Unsupervised Learning Quiz

Quiz covering Machine Learning Fundamentals

Questions in this quiz

A preview of the 5 questions covered. Start the quiz above to answer them, check your score, and read the explanations.

1. 1

   Which of the following best describes the primary goal of unsupervised learning?

2. 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. 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. 4

   In the context of K-Means clustering, what does the 'K' represent?

5. 5

   When applying Principal Component Analysis (PCA) to a dataset, why is feature scaling (standardization) generally considered a mandatory preprocessing step?