What methods are used for reducing dimensionality in Machine Learning?

Question

What methods are used for reducing dimensionality?

Answer 1

Dimensionality reduction is the process of reducing the number of random variables. We can reduce dimensionality using techniques such as missing values ratio, low variance filter, high correlation filter, random forest, principal component analysis