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.

What are standardization and normalisation? Give one advantage of each over the other?

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289

Do you have research experience in machine learning?

150