Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: International Scientific Conference on Biotechnology and Food Technology (BFT-2024); Saint Petersburg; Saint Petersburg
Год издания: 2024
Идентификатор DOI: 10.1051/bioconf/202413003001
Аннотация: <jats:p>This article explores the application of machine learning techniques to analyze and evaluate water quality. In particular, the article focuses on the use of logistic regression to identify and analyze key parameters affecting the potability of water. The application of logistic regression in water quality analysis not only Показать полностьюallows us to build models for prediction, but also to formulate recommendations for improving water treatment and monitoring processes. As a result, the resulting data and models can be used to develop strategies to provide safe drinking water, which is important for the health and well-being of the community. Thus, the article proposes a modern approach to analyzing water quality using logistic regression, which allows for a deeper understanding of the relationships between water parameters and its potability, as well as the development of effective methods for water quality management.</jats:p>
Журнал: BIO WEB OF CONFERENCES
Выпуск журнала: 130
Номера страниц: 03001
Место издания: Les Ulis