Authors: Dr. Nguyen Gia Tuan Anh, MSc. Nguyen Van Kiet, Dr. Do Trong Hop, MSc. Luu Thanh Son
This course material is designed for the subject: Data Preprocessing and Dataset Construction (DS103).
The curriculum aims to provide learners with foundational knowledge about data, real-world data types, methods of data collection, and data preprocessing techniques to construct a clean dataset. Additionally, the material introduces learners to exploratory data analysis methods, extracting valuable information from datasets to address real-life problems. Lastly, it imparts knowledge and procedures for labeling data, facilitating the creation of labeled datasets for analysis tasks or supervised machine learning model development to solve real-world problems in data science.
The documentation has been processed and presented on the shelf to meet the needs of readers.
For further details, please visit: https://www.facebook.com/LibUIT.Fanpage/posts/pfbid02fH5BexvW7E6B7AMWpjHpRFtvXPxTSarHSari33opUBokgzU5sjtWsKYYSebPrgNbl
Hạ Băng - Media Collaborator, University of Information Technology
English version: Phan Huy Hoang
