Yangolenko, OlgaIvaschenko, OksanaMelnyk, KarinaYershova, SvetlanaLutenko, Irina2025-01-242024Guidelines for laboratory work on the topic "Data Preprocessing in WEKA" [Electronic resource] : for students of spec. 121 "Software engineering", 122 "Computer science" / comp.: Yangolenko Olga, Ivaschenko Oksana, Melnyk Karina, Yershova Svetlana, Lutenko Irina ; National Technical University "Kharkiv Polytechnic Institute". – Electronic text data. – Kharkiv, 2024. – 26 p. – URI: https://repository.kpi.kharkov.ua/handle/KhPI-Press/85548https://repository.kpi.kharkov.ua/handle/KhPI-Press/85548Aim: To gain a comprehensive understanding of the importance and techniques of data preprocessing in data mining and machine learning.by using Weka (bank-data.csv). Tools/ Apparatus: Weka preprocessing tool.enguidelineslaboratory workdata preprocessingWEKAmachine learningdata miningLearning Object