esikäsittelijät
Esikäsittelijät, known in English as preprocessing or pre-processing, refer to the initial steps taken to prepare data for a specific task, most commonly in the fields of computer science, statistics, and machine learning. The goal of esikäsittely is to transform raw data into a format that is suitable for analysis, modeling, or visualization, thereby improving the accuracy, efficiency, and interpretability of subsequent processes.
Common esikäsittely techniques include data cleaning, which involves handling missing values, outliers, and inconsistent entries. Missing
Other esikäsittely methods include data reduction, such as dimensionality reduction techniques like Principal Component Analysis (PCA)