Читать книгу Cognitive Engineering for Next Generation Computing - Группа авторов - Страница 34

Data preparation of machine learning process includes

 Arranging information and set it up for preparing.

 The cleaning process includes removing duplicate copies, handling mistakes, managing missing qualities, standardization, information type changes, and so on.

 Randomizing information, which eradicates the impacts of the specific samples wherein we gathered or potentially, in any case, arranged our information.

 Transforming information to identify pertinent connections between factors or class labels and characteristics (predisposition alert!), or perform other exploratory examination.

 Splitting data set into training and test data sets for learning and validating process.