Principal Component, Unsupervised Learning, Dimensionality Reduction, Interview Questions, Machine Learning.
accuracy improves. (B) Less data means less storage space required. Fewer dimensions mean less computing. Less data means that algorithms train faster. (C) Helps visualize the data on 2D plots or 3D plots. (D) All of the above. Question 5: What are the drawbacks of Dimensionality Reduction? (Select