How to do PCA in R to preprocess data Principal Component Analysis (PCA) is a technique used in data analysis to reduce the dimensionality of a dataset while retaining as much information as possible. In R, PCA can be used to preprocess data by transforming the original variables of a dataset into a new set …
Day: May 25, 2019
How to preprocess data in R using Box-Cox Transformation Preprocessing data is an important step in any data analysis project. It involves cleaning and transforming the data so that it is ready for further analysis. One such transformation is the Box-Cox Transformation, which is used to normalize a dataset. In R, the Box-Cox Transformation can …
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