What are some effective data reduction techniques?

What are some effective data reduction techniques?

There are several techniques for data reduction, including dimensionality reduction, data compression, and feature selection.

Can you explain dimensionality reduction?

Dimensionality reduction involves reducing the number of random variables under consideration, often using methods like PCA or t-SNE.

What is PCA?

PCA, or Principal Component Analysis, is a technique that transforms data to a lower dimension while preserving variance.

Are there any specific algorithms for feature selection?

Yes, common algorithms for feature selection include Recursive Feature Elimination (RFE) and LASSO regression.