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In data science, what is the primary goal of dimensionality reduction techniques like Principal Component Analysis (PCA)?

Correct Answer: To reduce the number of features while preserving important information

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Data Science MCQs MCQ: In data science, what is the primary goal of dimensionality reduction techniques like Principal Component Analysis (PCA)? | Extra Education