scaler

A scaler is a tool used to adjust the range of data values, usually to make different datasets comparable or suitable for analysis. For example, if one dataset has numbers ranging from 0 to 1000 and another from 0 to 10, scaling transforms them to a common scale, like 0 to 1. This helps algorithms and analyses work more effectively, especially in machine learning, where differences in scale can impact results. In essence, a scaler normalizes data, ensuring that all features contribute equally to the analysis.