Water-Quality

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This AI Model Can Check Water's Quality...

// repository documentation

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# 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

<li>pandas
<li>matplotlib
<li>seaborn
<li>plotly
<li>scikit-learn
<li>xgboost
  
# Algorithms
<li>Logistic Regression
<li>K Nearest Neighbours
<li>Support Vector Machine
<li>Decision Tree
<li>Random Forest
<li>XGBoost
  
**Best Model Accuracy:** 73.97658631

Water-Quality

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