Water Quality Analysis

Dataset Information

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

Download link: https://www.kaggle.com/adityakadiwal/water-potability

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