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Feature Extraction Manifold Learning Factor Analysis Isomap Multidimensional Scaling Autoencoders Locally Linear Embedding (LLE) t-Distributed Stochastic Neighbor Embedding (t-SNE) Uniform Manifold Approximation and Projection (UMAP) Random Projection Partial Least Squares (PLS) Let’s learn one by