Classification Machine Learning Models for Early Detection of Toxic Petroleum Hydrocarbons in Groundwater
Abstract
Jupyter notebook containing scripts for training and evaluating machine learning models for detecting petroleum hydrocarbons in groundwater using in-situ water quality parameters. Also included are the IPYNB file for visualizing simulation results and the python module used.
Publication details
- Journal / source
- 4TU.ResearchData
- Publication date
- 16 April 2026
- Language
- EN
- Document type
- Dataset