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