Answer Posted / Mohd Shahnawaz Qureshi

Dimension reduction in machine learning refers to the process of transforming high-dimensional data into a lower-dimensional space while preserving essential information and eliminating redundancy. This process can help improve model performance, reduce overfitting, and make visualization easier.

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