esikäsittelyketjut
Esikäsittelyketjut, often translated as preprocessing pipelines, are sequences of data processing steps designed to prepare raw data for subsequent analysis or machine learning tasks. These chains are crucial in ensuring that data is in a suitable format, free from errors, and structured effectively for algorithms to interpret.
The process typically begins with data cleaning, which involves handling missing values, correcting inconsistencies, and removing
The order of operations within an esikäsittelyketju is important. For example, scaling numerical data should generally