What is the benefit of dimensionality reduction?

Advantages of dimensionality reduction

-It reduces the time and storage space required.

-The removal of multicollinearity improves the interpretation of the parameters of the machine learning model.

-It becomes easier to visualize the data when reduced to very low dimensions such as 2D or 3D.

-Reduce space complexity.

-More interpretable because it removes noise thus provides a simpler explanation.

-To mitigate “curse of dimensionality”.