Answer / Atul Kumar Gautam

Some important methods of reducing dimensionality include:
- Principal Component Analysis (PCA)
- Linear Discriminant Analysis (LDA)
- t-Distributed Stochastic Neighbor Embedding (t-SNE)
- Uniform Manifold Approximation and Projection (UMAP)
- Autoencoders

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