{"id":15157990,"url":"https://github.com/muhammadshavaiz/spam_or_ham_emaildetection","last_synced_at":"2026-02-09T00:04:13.647Z","repository":{"id":253830942,"uuid":"844664492","full_name":"MuhammadShavaiz/Spam_or_Ham_EmailDetection","owner":"MuhammadShavaiz","description":"The Spam Email Detection project uses Scikit-learn and Pandas to classify emails as spam or not, leveraging a dataset of 5,000 emails. 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The notebook leverages statistical analysis and model training to classify emails, making it a solid foundation for understanding email classification using machine learning.\n\n## Project Overview\n\n- **Data**: The project uses a publicly available email dataset containing labeled spam and non-spam emails.\n- **Libraries**: Scikit-learn, Pandas\n- **Key Steps**:\n  - Statistical analysis of the dataset.\n  - Model training using Scikit-learn's classification models.\n  - Evaluation of model performance.\n\n## Getting Started\n\n1. **Download the Notebook**:\n   - Click on the `.ipynb` file in this repository.\n   - Use the \"Download\" button on GitHub to save the notebook to your local machine.\n\n2. **Open in Google Colab**:\n   - Visit [Google Colab](https://colab.research.google.com/).\n   - In the Colab interface, go to `File` \u003e `Upload notebook`.\n   - Select the downloaded `.ipynb` file from your local machine to upload.\n\n3. **Run the Notebook**:\n   - Once the notebook is uploaded, you can run the cells step-by-step to follow the statistical analysis and model training process.\n   - Feel free to modify the code and experiment with different models or techniques.\n\n  \n## Contributing\n\nContributions are welcome! If you have suggestions for improvements or new features, feel free to open an issue or submit a pull request.\n\n## Contact\n\nFor any questions or feedback, feel free to reach out via [shavaizsohail@gmail.com](mailto:shavaizsohail@gmail.com) or through GitHub issues.\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmuhammadshavaiz%2Fspam_or_ham_emaildetection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmuhammadshavaiz%2Fspam_or_ham_emaildetection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmuhammadshavaiz%2Fspam_or_ham_emaildetection/lists"}