Principal Component, Unsupervised Learning, Dimensionality Reduction, Interview Questions, Machine Learning.
potential that the ML model would overfit. As a result, the model performs badly on the test data because it becomes overly reliant on training data. Question 3: Which statements are correct about the definition of PCA? (Select two) (A) PCA is a dimensionality reduction approach that converts a