|
|
--- |
|
|
license: mit |
|
|
task_categories: |
|
|
- text-classification |
|
|
language: |
|
|
- en |
|
|
size_categories: |
|
|
- 1K<n<10K |
|
|
--- |
|
|
|
|
|
# 📦 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. |
|
|
|
|
|
--- |
|
|
|
|
|
## 🧠 Overview |
|
|
- **File Name:** `water_potability.csv` |
|
|
- **Total Entries:** 3,200+ water samples |
|
|
- **Format:** CSV (Comma Separated Values) |
|
|
- **Columns:** |
|
|
- `Potability` → Indicates whether the water is **potable (1)** or **not potable (0)** |
|
|
- `pH` → Water pH value |
|
|
- `Hardness` → Hardness of water (mg/L) |
|
|
- `Solids` → Total dissolved solids (ppm) |
|
|
- `Chloramines` → Chloramines concentration (ppm) |
|
|
- `Sulfate` → Sulfate content (mg/L) |
|
|
- `Conductivity` → Electrical conductivity (µS/cm) |
|
|
- `Organic_carbon` → Organic carbon content (ppm) |
|
|
- `Trihalomethanes` → Trihalomethanes concentration (µg/L) |
|
|
- `Turbidity` → Turbidity level (NTU) |
|
|
|
|
|
--- |
|
|
|
|
|
## 📊 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 | |
|
|
|
|
|
--- |
|
|
|
|
|
## ⚙️ 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 |
|
|
|
|
|
--- |
|
|
|
|
|
## 📁 File Structure |
|
|
- `Dataset` —> `water_potability.csv` |
|
|
|
|
|
--- |
|
|
|
|
|
## 🧩 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 | |
|
|
|
|
|
--- |
|
|
|
|
|
## 📜 License (MIT) |
|
|
This dataset is provided for **educational and research purposes only**. |
|
|
|
|
|
--- |
|
|
|
|
|
## 🙌 Author |
|
|
**Gaurav Pandey (Mr. Def@ult)** |
|
|
Co-founder of **DarkNeuronAI** |
|
|
📧 darkneuronai.official@gmail.com |
|
|
|
|
|
--- |
|
|
|
|
|
## Developed With ❤️ By DarkNeuronAI |
|
|
|
