esikäsittelyjen
Esikäsittelyjen refers to the preprocessing or preliminary treatment of data before it is used for analysis or modeling. This is a crucial step in many fields, including data science, statistics, and machine learning, as the quality of the input data significantly impacts the results obtained. Esikäsittelyjen encompasses a variety of techniques aimed at cleaning, transforming, and preparing data to meet the requirements of specific algorithms or analytical methods.
Common esikäsittelyjen techniques include handling missing values, which can be done through imputation (filling in missing
The specific esikäsittelyjen applied depend heavily on the nature of the data and the intended use case.