Principal Component, Unsupervised Learning, Dimensionality Reduction, Interview Questions, Machine Learning.
the curses of dimensionality? (Select two) (A) As the number of features increases, so does the number of samples, resulting in a complex model. This is known as the curse of dimensionality. (B) Due to the high number of features, there is a potential that the ML model would overfit. As a result,