Dimensionality reduction is a process of lessening the amount of random variables under consideration by obtaining a set of principal variables.[55] To put it differently, It is just a process of lessening the dimension of your feature set, also known as the "quantity of capabilities". One example is, an algorithm https://customersatisfaction35220.qodsblog.com/36847555/the-smart-trick-of-ccpa-that-no-one-is-discussing