esikäsitellylle
Esikäsitelty is a Finnish term that translates to "preprocessed" in English. It refers to the process of preparing raw data for further analysis or processing. This preprocessing step is crucial in various fields such as data science, machine learning, and artificial intelligence, as it helps to clean, transform, and organize the data to improve the accuracy and efficiency of subsequent analyses.
The preprocessing of data typically involves several steps, including data cleaning, which removes or corrects errors
Feature engineering is also a common part of the preprocessing pipeline. This involves creating new features
Esikäsitelty data is essential for building robust and accurate models, as it ensures that the data is