AI, Dimensionality Reduction, Machine Learning, Python, Data Science.
explained. Finally, it transforms both the training and test data accordingly. Conclusion The choice between Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), and Singular Value Decomposition (SVD) depends on the specific objectives and characteristics of the data. Here are