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💧 Water Pollution Classification

This project uses machine learning techniques to classify water quality and detect pollution levels based on environmental and water-related features.

📌 Project Overview

The objective of this project is to analyze water quality data and build a machine learning model that can classify different levels of pollution or water condition categories.

🚀 Features

  • Data preprocessing and cleaning
  • Feature selection and analysis
  • Machine learning model training
  • Model evaluation and performance metrics
  • Visualization of results

🛠️ Technologies Used

  • Python
  • Jupyter Notebook
  • Pandas
  • NumPy
  • Scikit-learn
  • Matplotlib

📂 Project Structure

water_pollution_classification.ipynb # Main ML notebook Paper_Reading_Summary.pdf # Research summary README.md # Project documentation

▶️ How to Run

  1. Install Python (>=3.8 recommended)
  2. Install required libraries: 
    pip install pandas numpy scikit-learn matplotlib