👉 Severalization is a technique used in machine learning and statistics to reduce the dimensionality of a dataset by projecting it onto a lower-dimensional space. This can be useful when dealing with large datasets that are too complex to handle directly, or when there is an interest in reducing computational complexity for certain tasks. In simple terms, severalization involves transforming the original data into a smaller set of features (or "features") that can be used as input to a machine learning model. This process can help reduce the
