Frequently Asked Questions

What are the Benefits of Dimensionality Reduction?

Dimensionality Reduction means a reduction in the number of features in a dataset. It has the below benefits:

  • It reduces the complexity of the machine learning model.
  • Removing misleading data improves model accuracy.
  • Redundant features are removed.
  • Computation time decreases.
  • The storage space required also decreases.
  • Data visualization becomes easy.
  • The problem of overfitting can also be resolved.
  • The problem of multicollinearity is resolved.

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