MuhammadUsman-Khan/Water-Quality-Index-Analysis-and-Classification
Binary classification of water samples as safe or unsafe using 20 chemical parameters. Compares Logistic Regression, Decision Tree, Random Forest, SVC, and KNN with GridSearchCV tuning achieving 96.37% accuracy and F1-score of 0.838 on the minority class.
Stars
1
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 23, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/MuhammadUsman-Khan/Water-Quality-Index-Analysis-and-Classification"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
confidence-duku/bakaano-hydro
A distributed hydrology-guided neural network model for streamflow prediction
OuyangWenyu/torchhydro
TorchHydro: datasets, and models for watershed hydrological modeling
mhpi/hydrodl2
Repository for MHPI differentiable hydrological models.
WaterFutures/water-futures-battle
Part of the Battle of Water Networks competition series | WDSA/CCWI 2026, May 18-21, Paphos,...
JohnNay/forecastVeg
A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python