{"id":29285781,"url":"https://github.com/quantumcoderrr/car_safety_analysis","last_synced_at":"2025-07-05T23:10:56.407Z","repository":{"id":268072573,"uuid":"903232646","full_name":"QuantumCoderrr/Car_Safety_Analysis","owner":"QuantumCoderrr","description":null,"archived":false,"fork":false,"pushed_at":"2025-02-26T08:08:53.000Z","size":134,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-26T09:22:47.514Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/QuantumCoderrr.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-12-14T04:05:14.000Z","updated_at":"2025-02-26T08:08:56.000Z","dependencies_parsed_at":null,"dependency_job_id":"aff78515-cd31-4781-934d-9f9021bb1a2b","html_url":"https://github.com/QuantumCoderrr/Car_Safety_Analysis","commit_stats":null,"previous_names":["quantumcoderrr/car_safety_analysis"],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/QuantumCoderrr/Car_Safety_Analysis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/QuantumCoderrr%2FCar_Safety_Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/QuantumCoderrr%2FCar_Safety_Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/QuantumCoderrr%2FCar_Safety_Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/QuantumCoderrr%2FCar_Safety_Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/QuantumCoderrr","download_url":"https://codeload.github.com/QuantumCoderrr/Car_Safety_Analysis/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/QuantumCoderrr%2FCar_Safety_Analysis/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":263819240,"owners_count":23516123,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-07-05T23:10:53.116Z","updated_at":"2025-07-05T23:10:56.390Z","avatar_url":"https://github.com/QuantumCoderrr.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Car Safety Analysis 🚗💡\n\nWelcome to the **Car Safety Analysis** project! This initiative is a collaborative effort to explore and analyze the safety features of various car models, providing insights through data visualization and machine learning techniques.\n\n---\n\n## 📝 Table of Contents\n\n- [About the Project](#about-the-project)\n- [Key Features](#key-features)\n- [Dataset](#dataset)\n- [Technologies Used](#technologies-used)\n- [Getting Started](#getting-started)\n- [Results](#results)\n- [Contributors](#contributors)\n- [Acknowledgments](#acknowledgments)\n\n---\n\n## About the Project 📚\n\nThe **Car Safety Analysis** project evaluates car safety metrics using the dataset provided and uncovers patterns and insights that can assist consumers, manufacturers, and regulators. Through this project, we aim to:\n\n- Perform comprehensive data cleaning and preprocessing.\n- Visualize relationships among key safety parameters.\n- Build predictive models to classify car safety ratings.\n- Share findings through interactive visualizations.\n\n---\n\n## Key Features 🎯\n\n- **Data Exploration**: Uncover trends and distributions of safety parameters.\n- **Visualization**: Dynamic and static visualizations to make data accessible.\n- **Machine Learning Models**: Predictive models for classifying car safety levels.\n- **Insights for Action**: Practical recommendations based on analysis.\n\n---\n\n## Dataset 📂\n\nThe dataset for this project, **Car_Safety_Data.csv**, contains information about cars, including their safety features, ratings, and other relevant details.  \nKey attributes include:\n- Safety Ratings (Low, Medium, High)\n- Car Features\n- Cost-Effectiveness\n\n---\n\n## Technologies Used 🛠️\n\n- **Programming Language**: Python\n- **Libraries**: NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn\n- **Tools**: Jupyter Notebook\n\n---\n\n## Getting Started 🚀\n\n### Prerequisites\n- Python 3.8 or higher\n- Required libraries installed (`pip install -r requirements.txt`)\n\n### Installation\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/QuantumCoderrr/Car_Safety_Analysis.git\n\n2. Navigate to the project directory:\n   ```bash\n   cd Car_Safety_Analysis\n\n3. Install dependencies:\n   ```bash\n   pip install -r requirements.txt\n\n### Running the Project 🚀\n1. Open the `Car_Safety_Analysis.ipynb` file in Jupyter Notebook.\n2. Run the notebook to execute the data analysis and model-building process.\n\n---\n\n## Results 📊\nOur analysis yielded the following insights:\n1. **Safety Correlations**: Certain features like airbags and stability control showed high positive correlations with safety ratings.\n2. **Predictive Accuracy**: Machine learning models achieved over 85% accuracy in classifying safety levels.\n\n---\n\n### Output Visualizations\n\n**1. Feature Importance Analysis**  \n![Feature Importance](images/feature_importance.png)\n\n**2. Confusion Matrix**  \n![Confusion Matrix](images/confusion_matrix.png)\n\n---\n\n## Contributors 🤝\nThis project is brought to you by:\n- [Sandip Ghosh](https://github.com/QuantumCoderrr)\n- [Abhirup Raha](https://github.com/MesvRon)\n- [Anushka Goswami](https://github.com/anushka16-gitt)\n\n---\n\n### Contributing\nWe welcome contributions from everyone! To learn how you can contribute, please see our [Contributing Guidelines](CONTRIBUTING.md).\n\n### Code of Conduct\nPlease note that we have a [Code of Conduct](CODE_OF_CONDUCT.md) in place to ensure that all participants can contribute in a respectful and welcoming environment.\n\n### License 📜\nThis project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.\n   \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fquantumcoderrr%2Fcar_safety_analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fquantumcoderrr%2Fcar_safety_analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fquantumcoderrr%2Fcar_safety_analysis/lists"}