Clean set of scripts for using Ollama or OpenWebUI portably, PC to PC.
-
Updated
Jun 20, 2025 - Batchfile
Clean set of scripts for using Ollama or OpenWebUI portably, PC to PC.
Machine learning-based classification of water potability using physicochemical properties. Includes preprocessing, model comparison, and ensemble learning techniques for improved prediction accuracy.
Study of a model to evaluate potability of water samples.
"Projeto utiliza SVM Linear para prever a potabilidade da água a partir de indicadores físico-químicos, aplicando validação cruzada e métricas como acurácia e ROC AUC para garantir resultados confiáveis."
Reproducible data science pipeline to evaluate whether physicochemical water parameters can predict potability, including missingness mechanism assessment, cleaning, SQL exploration, and non-linear modeling.
Predicts water potability using SVC and provides a Gradio interface for user input.
To associate your repository with the potability topic, visit your repo's landing page and select "manage topics."