Dataset and python scripts for 'Machine learning approaches to predict the decolorization efficiency of UV/H2O2 oxidation in textile wastewater'
Published: 6 December 2023| Version 1 | DOI: 10.17632/86sd6fwdbw.1
Contributors:
JinKyu Kang, , , , Description
Dataset for the article, Machine learning approaches to predict the decolorization efficiency of UV/H2O2 oxidation in textile wastewater You can try the procedure of our study by using 'ML_models_comparison.ipynb' file. all.csv and val.csv files are required files for 'ML_models_comparison.ipynb'
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Institutions
Pusan National University, Ajou University, Hankyong National University
Categories
Machine Learning