📊 Data Science
Q. In data science, what is the primary goal of dimensionality reduction techniques like Principal Component Analysis (PCA)?
  • (A) To reduce the number of features while preserving important information
  • (B) To add more features to the dataset
  • (C) To normalize data
  • (D) To visualize data
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✅ Correct Answer: (A) To reduce the number of features while preserving important information

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