Q11medium
You have data with 50 features and you suspect many are redundant. You use PCA to keep only 5. What is the impact on your supervised model?
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15 Questions Total
Unsupervised Learning MCQs
Topic-wise practice questions for Artificial Intelligence & Machine Learning. Test your knowledge, check solutions on demand, and pace your preparation.
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Practice in Timed ModeQ12easy
How does Hierarchical Clustering differ from K-Means?
Q13easy
In Scikit-Learn's KMeans, what does the n_clusters parameter represent?
Q14medium
Why is scaling data (Standardization) highly recommended before performing K-Means clustering?
Q15easy
What is the main objective of Principal Component Analysis (PCA)?