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---
license: mit
task_categories:
- text-classification
language:
- en
size_categories:
- 1K<n<10K
---
# π¦ Water Potability Dataset
A curated dataset of **water quality measurements** labeled for **potability**.
This dataset is ideal for building and testing **water quality prediction** models using Machine Learning or Deep Learning.
---
## π§ Overview
- **File Name:** `water_potability.csv`
- **Total Entries:** 3,200+ water samples
- **Format:** CSV (Comma Separated Values)
- **Columns:**
- `Potability` β Indicates whether the water is **potable (1)** or **not potable (0)**
- `pH` β Water pH value
- `Hardness` β Hardness of water (mg/L)
- `Solids` β Total dissolved solids (ppm)
- `Chloramines` β Chloramines concentration (ppm)
- `Sulfate` β Sulfate content (mg/L)
- `Conductivity` β Electrical conductivity (Β΅S/cm)
- `Organic_carbon` β Organic carbon content (ppm)
- `Trihalomethanes` β Trihalomethanes concentration (Β΅g/L)
- `Turbidity` β Turbidity level (NTU)
---
## π Dataset Features
| Feature | Description |
|---------|-------------|
| **Potability** | Binary label: `1` for potable, `0` for non-potable |
| **Water Quality Metrics** | Real-world measurements of water properties |
| **Cleaned Data** | Pre-processed and structured for ML usage |
| **Balanced Data** | Contains a mix of potable and non-potable samples |
---
## βοΈ Use Cases
- Water quality prediction using ML or DL models
- Regression and classification problems
- Feature analysis and correlation studies
- Experimenting with model accuracy, precision, and F1-scores
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## π File Structure
- `Dataset` β> `water_potability.csv`
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## π§© Example Rows
| Potability | pH | Hardness | Solids | Chloramines | Sulfate | Conductivity | Organic_carbon | Trihalomethanes | Turbidity |
|------------|----|----------|--------|-------------|---------|--------------|----------------|-----------------|-----------|
| 1 | 7.2 | 204 | 21200 | 7.0 | 333 | 420 | 10 | 80 | 3.5 |
| 0 | 6.8 | 180 | 18900 | 5.5 | 295 | 390 | 8 | 65 | 4.2 |
---
## π License (MIT)
This dataset is provided for **educational and research purposes only**.
---
## π Author
**Gaurav Pandey (Mr. Def@ult)**
Co-founder of **DarkNeuronAI**
π§ darkneuronai.official@gmail.com
---
## Developed With β€οΈ By DarkNeuronAI
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