Data Science, Factor Analysis, Data, Machine Learning, Statistics.
print(loadings) Dimensionality reduction One of the most popular applications of PCA is dimensionality reduction. It’s a way to create a new representation of your dataset that is: Smaller than the original dataset, Keeps only its core patterns and characteristics. Picking principal components to