Machine Learning, Principal Component, Artificial Intelligence, Unsupervised Learning, Pca Analysis.
strong features that contribute the most to the data’s variance. This is the essence of PCA: finding the most informative features and using them to represent the dataset efficiently. PCA for Unsupervised Learning When data is labeled, it means that we have a clear outcome or category associated