Machine Learning, Principal Component, Artificial Intelligence, Unsupervised Learning, Pca Analysis.
crunchiness — contribute most to the variability in the fruit dataset. These principal components can give us insights into the underlying structure of the data, which can be incredibly valuable for tasks like clustering, dimensionality reduction, or even as a preliminary step before applying other