Dataset and python scripts for 'Machine learning approaches to predict the decolorization efficiency of UV/H2O2 oxidation in textile wastewater'

Dataset and python scripts for 'Machine learning approaches to predict the decolorization efficiency of UV/H2O2 oxidation in textile wastewater'

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_compa...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Kang, JinKyu
Format: Dataset
Sprache:eng
Schlagworte:
Machine Learning
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Beschreibung
Zusammenfassung: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'
DOI:10.17632/86sd6fwdbw