ennakkokäsittelyä
Ennakkokäsittelyä, which translates to "pre-processing" in English, is a crucial initial stage in many data-driven processes. It involves transforming raw data into a format that is suitable for analysis, modeling, or further manipulation. The specific steps involved in ennakkokäsittelyä can vary significantly depending on the type of data and the intended application. However, common tasks include data cleaning, which addresses missing values, outliers, and inconsistent entries. Data transformation is another key aspect, encompassing operations like scaling, normalization, and feature engineering to enhance the quality and relevance of the data.
The purpose of ennakkokäsittelyä is to improve the accuracy and efficiency of subsequent steps. By preparing