Description: The encoding scheme is a systematic method for coding data, which involves transforming information into a format that facilitates its analysis and processing. This process is fundamental in data preprocessing, as it allows raw data to be converted into a structured and understandable representation. Through encoding, numerical or categorical values are assigned to qualitative variables, enabling data analysis algorithms to work more efficiently. Encoding can include techniques such as one-hot encoding, where binary variables are created for each category, or ordinal encoding, which assigns an order to categories. This approach not only improves data quality but also optimizes the performance of machine learning models by reducing dimensionality and facilitating result interpretation. In summary, the encoding scheme is an essential tool in data preprocessing that transforms complex information into an accessible and useful format for analysis.
