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.