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What is Dimension Reduction in ML | AI ML tutorials by a Data Scientist | Thinking Neuron
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Dimension Reduction: Finding and combining similar columns in data. Basically reducing the number of columns(Dimension) to a lower number of columns.
Important algorithms used for Dimension Reduction are Factor Analysis, PCA, ICA, T-SNA, and UMAP.
Important algorithms used for Dimension Reduction are Factor Analysis, PCA, ICA, T-SNA, and UMAP.
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