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

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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