{"id":20433360,"url":"https://github.com/jpcadena/cancer-classification","last_synced_at":"2026-04-09T02:02:08.240Z","repository":{"id":165765846,"uuid":"611868540","full_name":"jpcadena/cancer-classification","owner":"jpcadena","description":"Breast cancer classification 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cancer-classification\n\n\u003c!-- Improved compatibility of back to top link: See: https://github.com/othneildrew/Best-README-Template/pull/73 --\u003e\n\u003ca name=\"readme-top\"\u003e\u003c/a\u003e\n\n\u003c!-- PROJECT SHIELDS --\u003e\n\u003c!--\n*** Markdown \"reference style\" links for readability.\n*** Reference links are enclosed in brackets [ ] instead of parentheses ( ).\n--\u003e\n\n\n\u003c!-- PROJECT LOGO --\u003e\n\u003cbr /\u003e\n\u003cdiv align=\"center\"\u003e\n  \u003ca href=\"https://github.com/othneildrew/Best-README-Template\"\u003e\n    \u003cimg src=\"assets/static/images/logo.png\" alt=\"Logo\" width=\"80\" height=\"80\"\u003e\n  \u003c/a\u003e\n\n\u003ch3 align=\"center\"\u003ecancer-classification\u003c/h3\u003e\n\n  \u003cp align=\"center\"\u003e\n    Description for Cancer classification\n    \u003cbr /\u003e\n    \u003ca href=\"https://github.com/jpcadena/cancer-classification\"\u003e\u003cstrong\u003eExplore the docs »\u003c/strong\u003e\u003c/a\u003e\n    \u003cbr /\u003e\n  \u003c/p\u003e\n\u003c/div\u003e\n\n\n\n\u003c!-- TABLE OF CONTENTS --\u003e\n\u003cdetails\u003e\n  \u003csummary\u003eTable of Contents\u003c/summary\u003e\n  \u003col\u003e\n    \u003cli\u003e\n      \u003ca href=\"#about-the-project\"\u003eAbout The Project\u003c/a\u003e\n      \u003cul\u003e\n        \u003cli\u003e\u003ca href=\"#built-with\"\u003eBuilt With\u003c/a\u003e\u003c/li\u003e\n      \u003c/ul\u003e\n    \u003c/li\u003e\n    \u003cli\u003e\n      \u003ca href=\"#getting-started\"\u003eGetting Started\u003c/a\u003e\n      \u003cul\u003e\n        \u003cli\u003e\u003ca href=\"#prerequisites\"\u003ePrerequisites\u003c/a\u003e\u003c/li\u003e\n        \u003cli\u003e\u003ca href=\"#installation\"\u003eInstallation\u003c/a\u003e\u003c/li\u003e\n      \u003c/ul\u003e\n    \u003c/li\u003e\n    \u003cli\u003e\u003ca href=\"#usage\"\u003eUsage\u003c/a\u003e\u003c/li\u003e\n    \u003cli\u003e\u003ca href=\"#contributing\"\u003eContributing\u003c/a\u003e\u003c/li\u003e\n    \u003cli\u003e\u003ca href=\"#license\"\u003eLicense\u003c/a\u003e\u003c/li\u003e\n    \u003cli\u003e\u003ca href=\"#contact\"\u003eContact\u003c/a\u003e\u003c/li\u003e\n  \u003c/ol\u003e\n\u003c/details\u003e\n\n\n\n\u003c!-- ABOUT THE PROJECT --\u003e\n\n## About the project\n\n![Project][project-screenshot]\n\nThis project is about Cancer classification and uses multiple Machine \nLearning Models to test their accuracy to classify the patient with a \nmalign or a benign tumor. The project structure includes multiple steps in \na Machine Learning Operations project including packages for analysis, \nengineering, modelling, reports, etc.\n\n\u003cp align=\"right\"\u003e(\u003ca href=\"#readme-top\"\u003eback to top\u003c/a\u003e)\u003c/p\u003e\n\n### Built with\n\n* [![Python][Python.org]][Python-url]\n\n\u003cp align=\"right\"\u003e(\u003ca href=\"#readme-top\"\u003eback to top\u003c/a\u003e)\u003c/p\u003e\n\n\n\n\u003c!-- GETTING STARTED --\u003e\n\n## Getting started\n\n### Prerequisites\n\n* [Python 3.10+][Python-docs-url]\n\n### Installation\n\n1. Clone the **repository**\n    ```\n    git clone https://github.com/jpcadena/cancer-classification.git\n    ```\n2. Change the directory to **root project**\n    ```\n    cd cancer-classification\n    ```\n3. Create a **virtual environment** *venv*\n    ```\n    python3 -m venv venv\n    ```\n4. Activate **environment** in Windows\n    ```\n    .\\venv\\Scripts\\activate\n    ```\n5. Or with Unix/Mac OS X\n    ```\n    source venv/bin/activate\n    ```\n6. Install requirements with PIP\n    ```\n    pip install -r requirements.txt\n    ```\n\n\u003cp align=\"right\"\u003e(\u003ca href=\"#readme-top\"\u003eback to top\u003c/a\u003e)\u003c/p\u003e\n\n\n\n\u003c!-- USAGE EXAMPLES --\u003e\n\n### Usage\n\n1. If found **sample.env**, rename it to **.env**.\n2. Replace your **credentials** into the *.env* file.\n3. Execute with console\n    ```\n    python main.py\n    ```\n\n\u003cp align=\"right\"\u003e(\u003ca href=\"#readme-top\"\u003eback to top\u003c/a\u003e)\u003c/p\u003e\n\n\n\n\u003c!-- CONTRIBUTING --\u003e\n\n## Contributing\n\nIf you have a suggestion that would make this better, please fork the repo and\ncreate a pull request.\n\n1. Fork the Project\n2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)\n3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)\n4. Push to the Branch (`git push origin feature/AmazingFeature`)\n5. Open a Pull Request\n\nUse docstrings with **reStructuredText** format by adding triple double quotes\n**\"\"\"** after function definition.\\\nAdd a brief function description, also for the parameters including the return\nvalue and its corresponding data type.\\\nPlease use **linting** to check your code quality\nfollowing [PEP 8](https://peps.python.org/pep-0008/).\\\nCheck documentation\nfor [Visual Studio Code](https://code.visualstudio.com/docs/python/linting#_run-linting)\nor [Jetbrains Pycharm](https://github.com/leinardi/pylint-pycharm/blob/master/README.md).\\\nRecommended plugin for\nautocompletion: [Tabnine](https://www.tabnine.com/install)\n\n\u003cp align=\"right\"\u003e(\u003ca href=\"#readme-top\"\u003eback to top\u003c/a\u003e)\u003c/p\u003e\n\n\n\n\u003c!-- LICENSE --\u003e\n\n## License\n\nDistributed under the MIT License.\n\n\u003cp align=\"right\"\u003e(\u003ca href=\"#readme-top\"\u003eback to top\u003c/a\u003e)\u003c/p\u003e\n\n\n\n\u003c!-- CONTACT --\u003e\n\n## Contact\n\nLinkedIn: [Juan Pablo Cadena Aguilar][linkedin-url]\n\nE-mail: [Juan Pablo Cadena Aguilar](mailto:jpcadena@espol.edu.ec?subject=[GitHub]cancer-classification)\n\n\u003cp align=\"right\"\u003e(\u003ca href=\"#readme-top\"\u003eback to top\u003c/a\u003e)\u003c/p\u003e\n\n\n\n\u003c!-- MARKDOWN LINKS \u0026 IMAGES --\u003e\n\u003c!-- https://www.markdownguide.org/basic-syntax/#reference-style-links --\u003e\n\n[linkedin-url]: https://linkedin.com/in/juanpablocadenaaguilar\n\n[project-screenshot]: assets/static/images/project.png\n\n[Python.org]: https://img.shields.io/badge/python-3670A0?style=for-the-badge\u0026logo=python\u0026logoColor=ffdd54\n\n[Python-url]: https://www.python.org/\n\n[Python-docs-url]: https://docs.python.org/3.10/\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjpcadena%2Fcancer-classification","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjpcadena%2Fcancer-classification","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjpcadena%2Fcancer-classification/lists"}