How to Select the Best Number of Principal Components for the Dataset

Six methods you should follow

Photo by Randy Fath on Unsplash

Selecting the best number of principal components is the major challenge when applying Principal Component Analysis (PCA) to the dataset.

In technical terms, selecting the best number of principal components is called a type of hyperparameter tuning process in which we…