Question: What is the primary purpose of principal component analysis (PCA) in machine learning?
Answer:
The primary purpose of principal component analysis (PCA) is dimensionality reduction, which helps in simplifying complex datasets.
MCQ: What is the primary purpose of principal component analysis (PCA) in machine learning?
Correct Answer:
A. Classification
Explanation:
The primary purpose of principal component analysis (PCA) is dimensionality reduction, which helps in simplifying complex datasets.
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