A data analysis system for milk production management using Python and Jupyter Notebooks. This project provides insights and analytics for dairy farm production data.
This system analyzes milk production data to help dairy farms make data-driven decisions. It includes data visualization, statistical analysis, and production trend forecasting.
- Production data analysis
- Statistical visualization
- Trend forecasting
- Data management tools
- Interactive Jupyter notebooks
- Production insights generation
- Python 3.x
- Jupyter Notebook
- pandas
- numpy
- matplotlib
- seaborn
- scikit-learn
- Clone the repository:
git clone https://github.com/AKA2114SH/Milk-Production-Analysis-and-Data-Management-System.git
cd Milk-Production-Analysis-and-Data-Management-System- Install required packages:
pip install -r requirements.txt- Launch Jupyter Notebook:
jupyter notebook- Open the analysis notebooks in the browser and start exploring the data.
- Production Data Analysis
- Seasonal Trend Analysis
- Quality Metrics
- Yield Optimization
- Cost Analysis
- Production Forecasting
Milk-Production-Analysis/
├── notebooks/
│ └── analysis.ipynb
├── data/
│ └── milk_production_data.csv
├── README.md
└── requirements.txt
- Input your milk production data in the specified format
- Run the analysis notebooks
- View generated visualizations and insights
- Use the forecasting tools for production planning
Contributions are welcome! Please feel free to submit a Pull Request.
- Fork the project
- Create your feature branch (
git checkout -b feature/AmazingFeature) - Commit your changes (
git commit -m 'Add some AmazingFeature') - Push to the branch (
git push origin feature/AmazingFeature) - Open a Pull Request
- @AKA2114SH - Akash Khatale
- @ajinkya9849 - Ajinkya Wagh
This project is licensed under the MIT License - see the LICENSE file for details.
Akash Khatale - @AKA2114SH
Project Link: https://github.com/AKA2114SH/Milk-Production-Analysis-and-Data-Management-System