Safe drinking water is essential to a healthy life. It is a fundamental human right. Healthy drinking water is vital as a health and development issue at a national, regional, and local level. In some regions, investing in water supply and sanitation can yield a net economic benefit since the reductions in adverse health effects and health care costs outweigh the costs of undertaking the interventions.
Attribute Information: Input variables (based on physicochemical tests): 1 - ph-> pH of water 2 - Hardness-> Capacity of water to precipitate soap in mg/L 3 - Solids-> Total dissolved solids in ppm 4 - Chloramines-> Amount of Chloramines in ppm 5 - Sulfate-> Amount of Sulfates dissolved in mg/L 6 - Conductivity-> Electrical conductivity of water in μS/cm 7 - Organic_carbon-> Amount of organic carbon in ppm 8 - Trihalomethanes-> Amount of Trihalomethanes in μg/L 9 - Turbidity-> Measure of light emiting property of water in NTU (Nephelometric Turbidity Units) \
Output variable (based on sensory data): 10 - Potability-> Indicates if water is safe for human consumption
Libraries pandas matplotlib seaborn plotly scikit-learn xgboost Algorithms Logistic Regression K Nearest Neighbours Support Vector Machine Decision Tree Random Forest XGBoost Best Model Accuracy: 70.00
Built With
- algorithms
- machine-learning
- python
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