Q39
What is the primary goal of dimensionality reduction techniques like Principal Component Analysis (PCA) in machine learning?
A.
To increase model interpretability
AnswerB.
To reduce the size of the training dataset
C.
To perform unsupervised learning
D.
To visualize data relationships
Answer: Option A
Solution
Answer: Option A
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