What are the Advantages of Dimensionality Reduction?

Data Science, AI and ML
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Some of the advantages of Dimensionality reduction are as follows:

1. Less misleading data means model accuracy improves.

2. Fewer dimensions mean less computing. Less data means that algorithms train faster.

3. Less data means less storage space required.

4. Removes redundant features and noise.

5. Dimensionality Reduction helps us to visualize the data that is present in higher dimensions in 2D or 3D.