Principal Component, Unsupervised Learning, Dimensionality Reduction, Interview Questions, Machine Learning.
smaller set of unrelated variables known as principal components. (D) PCA aims to eliminate extraneous features while retaining most of the dataset’s variability. Question 4: What’s the advantage of Dimensionality Reduction? (A) Removes redundant features and noise. Less misleading data means model