Data Preprocessing Questions
Data reduction is the process of reducing the size or complexity of a dataset while preserving its essential characteristics. It involves techniques such as feature selection, which selects a subset of relevant features, and feature extraction, which transforms the data into a lower-dimensional space. The goal of data reduction is to improve efficiency, reduce storage requirements, and enhance the performance of data analysis algorithms.