This project uses machine learning techniques to classify water quality and detect pollution levels based on environmental and water-related features.
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.
- Data preprocessing and cleaning
- Feature selection and analysis
- Machine learning model training
- Model evaluation and performance metrics
- Visualization of results
- Python
- Jupyter Notebook
- Pandas
- NumPy
- Scikit-learn
- Matplotlib
water_pollution_classification.ipynb # Main ML notebook Paper_Reading_Summary.pdf # Research summary README.md # Project documentation
- Install Python (>=3.8 recommended)
- Install required libraries:
pip install pandas numpy scikit-learn matplotlib