What is Dimensionality Reduction?

Dimensionality Reduction is a technique for simplifying complex data by reducing the number of variables while preserving the most important information. For example, instead of describing a home with 100 different measurements, you might compress it down to a few key factors that capture what matters most - overall size, location, condition. This makes data easier to visualize, speeds up the compute process, and reduces storage needs.