Turkish Journal of Computer and Mathematics Education
Journal license

Journal

Turkish Journal of Computer and Mathematics Education


Volume
& Issue

Volume 10, Issue 2


Published
on


Pages

1148-1153


DOI

Article

Data Preprocessing: A Step-by-Step Guide for Clean and Usable Data


Authors

Neelam Affiliation:
Assistant Professor, Computer Science Engineering, Arya Institute of Engineering and Technology
and Brijesh Gaur Affiliation:
Assistant Professor, Civil Engineering, Arya Institute of Engineering Technology & Management


Abstract

Data preprocessing is an crucial phase within the records evaluation pipeline, pivotal in ensuring that uncooked statistics may be efficiently utilized to extract meaningful insights. This evaluates paper offers a complete manual to the intricate process of statistics preprocessing, providing a step-by using-step assessment of essential strategies and best practices for refining uncooked records into smooth and usable datasets. The paper encompasses diverse facts preprocessing obligations, including records cleaning, lacking price imputation, function engineering, and outlier detection, underscoring their important position in improving statistics great. Drawing from the modern studies and sensible tips, this review equips facts analysts and scientists with the expertise and gear needed to bolster information reliability and relevance in a mess of programs.


Keywords

Data Cleaning, Data Pre-Processing, Feature Engineering, Data Quality, Data Scaling, Outlier Removal, Data Imputation


Citation

Gaur, B. (2019). Data preprocessing: A step-by-step guide for clean and usable data. Turkish Journal of Computer and Mathematics Education, 10(2), 1148–1153.

Published by: Engineering Journals

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