{"id":19848932,"url":"https://github.com/sharmas1ddharth/iris-classification","last_synced_at":"2026-06-09T04:07:19.069Z","repository":{"id":44900362,"uuid":"417899154","full_name":"sharmas1ddharth/Iris-classification","owner":"sharmas1ddharth","description":"A Machine Learning Model that can classify the species of the Iris flower whether its Iris-Setosa, Iris-Virsicolour, Iris-Virginica ","archived":false,"fork":false,"pushed_at":"2022-08-11T16:03:10.000Z","size":1332,"stargazers_count":2,"open_issues_count":40,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-11T12:48:02.818Z","etag":null,"topics":["data-science","data-science-projects","iris-classification","iris-dataset","machine-learning","machine-learning-projects","project","python"],"latest_commit_sha":null,"homepage":"","language":"HTML","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/sharmas1ddharth.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2021-10-16T17:27:41.000Z","updated_at":"2023-05-04T01:11:36.000Z","dependencies_parsed_at":"2022-09-15T14:12:53.607Z","dependency_job_id":null,"html_url":"https://github.com/sharmas1ddharth/Iris-classification","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":"sharmas1ddharth/Data-Science-Template","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sharmas1ddharth%2FIris-classification","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sharmas1ddharth%2FIris-classification/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sharmas1ddharth%2FIris-classification/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sharmas1ddharth%2FIris-classification/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sharmas1ddharth","download_url":"https://codeload.github.com/sharmas1ddharth/Iris-classification/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241226840,"owners_count":19930488,"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":["data-science","data-science-projects","iris-classification","iris-dataset","machine-learning","machine-learning-projects","project","python"],"created_at":"2024-11-12T13:18:48.242Z","updated_at":"2026-06-09T04:07:14.048Z","avatar_url":"https://github.com/sharmas1ddharth.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cdiv id=\"top\"\u003e\u003c/div\u003e\r\n\u003c!--\r\n*** Thanks for checking out the Best-README-Template. If you have a suggestion\r\n*** that would make this better, please fork the repo and create a pull request\r\n*** or simply open an issue with the tag \"enhancement\".\r\n*** Don't forget to give the project a star!\r\n*** Thanks again! Now go create something AMAZING! :D\r\n--\u003e\r\n\r\n\r\n\r\n\u003c!-- PROJECT SHIELDS --\u003e\r\n\u003c!--\r\n*** I'm using markdown \"reference style\" links for readability.\r\n*** Reference links are enclosed in brackets [ ] instead of parentheses ( ).\r\n*** See the bottom of this document for the declaration of the reference variables\r\n*** for contributors-url, forks-url, etc. This is an optional, concise syntax you may use.\r\n*** https://www.markdownguide.org/basic-syntax/#reference-style-links\r\n--\u003e\r\n[![Contributors][contributors-shield]][contributors-url]\r\n[![Forks][forks-shield]][forks-url]\r\n[![Stargazers][stars-shield]][stars-url]\r\n[![Issues][issues-shield]][issues-url]\r\n[![MIT License][license-shield]][license-url]\r\n[![LinkedIn][linkedin-shield]][linkedin-url]\r\n\r\n\r\n\r\n\u003c!-- PROJECT LOGO --\u003e\r\n\u003cbr /\u003e\r\n\u003ch3 align=\"center\"\u003eIris Classification\u003c/h3\u003e\r\n\r\n  \u003cp align=\"center\"\u003e\r\n    A Machine Learning Model that can classify the species of the Iris flower whether its Iris-Setosa, Iris-Virsicolour, Iris-Virginica\r\n    \u003cbr /\u003e\r\n    \u003cbr /\u003e\r\n    \u003ca href=\"https://iris-classification-p.herokuapp.com/\"\u003eView Demo\u003c/a\u003e\r\n    ·\r\n    \u003ca href=\"https://github.com/sharmas1ddharth/Iris-classification/issues\"\u003eReport Bug\u003c/a\u003e\r\n    ·\r\n    \u003ca href=\"https://github.com/sharmas1ddharth/Iris-classification/issues\"\u003eRequest Feature\u003c/a\u003e\r\n  \u003c/p\u003e\r\n\u003c/div\u003e\r\n\r\n\r\n\r\n\r\n\u003c!-- TABLE OF CONTENTS --\u003e\r\n\u003cdetails\u003e\r\n  \u003csummary\u003eTable of Contents\u003c/summary\u003e\r\n  \u003col\u003e\r\n    \u003cli\u003e\r\n      \u003ca href=\"#about-the-project\"\u003eAbout The Project\u003c/a\u003e\r\n      \u003cul\u003e\r\n        \u003cli\u003e\u003ca href=\"#built-with\"\u003eBuilt With\u003c/a\u003e\u003c/li\u003e\r\n      \u003c/ul\u003e\r\n    \u003c/li\u003e\r\n    \u003cli\u003e\r\n      \u003ca href=\"#getting-started\"\u003eGetting Started\u003c/a\u003e\r\n      \u003cul\u003e\r\n        \u003cli\u003e\u003ca href=\"#prerequisites\"\u003ePrerequisites\u003c/a\u003e\u003c/li\u003e\r\n        \u003cli\u003e\u003ca href=\"#installation\"\u003eInstallation\u003c/a\u003e\u003c/li\u003e\r\n      \u003c/ul\u003e\r\n    \u003c/li\u003e\r\n    \u003cli\u003e\u003ca href=\"#contributing\"\u003eContributing\u003c/a\u003e\u003c/li\u003e\r\n    \u003cli\u003e\u003ca href=\"#license\"\u003eLicense\u003c/a\u003e\u003c/li\u003e\r\n    \u003cli\u003e\u003ca href=\"#contact\"\u003eContact\u003c/a\u003e\u003c/li\u003e\r\n  \u003c/ol\u003e\r\n\u003c/details\u003e\r\n\r\n\r\n\r\n\u003c!-- ABOUT THE PROJECT --\u003e\r\n## About The Project\r\n\r\n[![Product Name Screen Shot][product-screenshot]](https://example.com)\r\n\r\n\u003c!-- Here's a blank template to get started: To avoid retyping too much info. Do a search and replace with your text editor for the following: `github_username`, `repo_name`, `twitter_handle`, `linkedin_username`, `email`, `email_client`, `project_title`, `project_description` --\u003e\r\n\r\n\u003cp align=\"right\"\u003e(\u003ca href=\"#top\"\u003eback to top\u003c/a\u003e)\u003c/p\u003e\r\n\r\n\r\n## Take a look at the notebook\r\n\u003ca href=\"https://nbviewer.org/github/sharmas1ddharth/Iris-classification/blob/main/notebooks/Iris-Classification.ipynb\"\u003e\u003cimg src=\"https://raw.githubusercontent.com/jupyter/design/master/logos/Badges/nbviewer_badge.svg\" alt=\"Render nbviewer\" /\u003e\u003c/a\u003e\r\n\r\n\r\n### Built With\r\n\r\n* [Python](https://www.python.org/)\r\n* [Pandas](https://pandas.pydata.org/)\r\n* [Scikit-learn](https://scikit-learn.org/)\r\n* [Numpy](https://numpy.org/)\r\n* [Matplotlib](https://matplotlib.org/)\r\n* [Seaborn](https://seaborn.pydata.org/)\r\n\r\n\u003cp align=\"right\"\u003e(\u003ca href=\"#top\"\u003eback to top\u003c/a\u003e)\u003c/p\u003e\r\n\r\nProject Organization\r\n------------\r\n\r\n    ├── LICENSE\r\n    ├── README.md          \u003c- The top-level README for developers using this project.\r\n    ├── data\r\n    │   ├── processed      \u003c- The final, canonical data sets for modeling.\r\n    │   └── raw            \u003c- The original, immutable data dump.\r\n    │\r\n    │\r\n    ├── models             \u003c- Trained and serialized models, model predictions, or model summaries\r\n    │\r\n    ├── notebooks          \u003c- Jupyter notebooks.\r\n    │\r\n    │\r\n    ├── reports            \u003c- Generated analysis as HTML, PDF, LaTeX, etc.\r\n    │   └── figures        \u003c- Generated graphics and figures to be used in reporting\r\n    │\r\n    ├── requirements.txt   \u003c- The requirements file for reproducing the analysis environment, e.g.\r\n    │                         generated with `pip freeze \u003e requirements.txt`\r\n    │\r\n    ├── src                \u003c- Source code for use in this project.\r\n\r\n\u003c!-- GETTING STARTED --\u003e\r\n## Getting Started\r\n\r\nTo run this project locally you need to have Python3 installed in your system.\r\nTo get a local copy up and running follow these simple example steps.\r\n\r\n### Prerequisites\r\n\r\n* [Python3](https://www.python.org/)\r\n* [Jupyter Noteboook](https://jupyter.org/)\r\n* [Pandas](https://pandas.pydata.org/)\r\n* [Scikit-learn](https://scikit-learn.org)\r\n* [Matplotlib](https://matplotlib.org/)\r\n* [Numpy](https://numpy.org/)\r\n* [Seaborn](https://seaborn.pydata.org/)\r\n\r\nInstall the above requirements by follow the steps below:\r\n\r\n### Installation\r\n\r\n1. Clone the repo\r\n   ```sh\r\n   git clone https://github.com/sharmas1ddharth/Iris-classification.git\r\n   ```\r\n2. Install `requirements.txt`\r\n   ```sh\r\n   pip install -r requirements.txt\r\n   ```\r\n\r\nAfter installing all the requirements type the following in **terminal**(Linux), **cmd/powershell**(Windows) to open project notebook in the jupyter-lab\r\n```sh\r\njupyter-lab\r\n```\r\n\u003cp align=\"right\"\u003e(\u003ca href=\"#top\"\u003eback to top\u003c/a\u003e)\u003c/p\u003e\r\n\r\n\r\n\r\n\u003c!-- USAGE EXAMPLES --\u003e\r\n\u003c!-- ## Usage\r\n\r\nUse this space to show useful examples of how a project can be used. Additional screenshots, code examples and demos work well in this space. You may also link to more resources. --\u003e\r\n\r\n\r\n\u003c!-- \u003cp align=\"right\"\u003e(\u003ca href=\"#top\"\u003eback to top\u003c/a\u003e)\u003c/p\u003e --\u003e\r\n\r\n\r\n\r\n\u003c!-- CONTRIBUTING --\u003e\r\n## Contributing\r\n\r\nContributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are **greatly appreciated**.\r\n\r\nIf you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag \"enhancement\".\r\nDon't forget to give the project a star! Thanks again!\r\n\r\n1. Fork the Project\r\n2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)\r\n3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)\r\n4. Push to the Branch (`git push origin feature/AmazingFeature`)\r\n5. Open a Pull Request\r\n\r\n\u003cp align=\"right\"\u003e(\u003ca href=\"#top\"\u003eback to top\u003c/a\u003e)\u003c/p\u003e\r\n\r\n\r\n\r\n\u003c!-- LICENSE --\u003e\r\n## License\r\n\r\nDistributed under the MIT License. See `LICENSE.txt` for more information.\r\n\r\n\u003cp align=\"right\"\u003e(\u003ca href=\"#top\"\u003eback to top\u003c/a\u003e)\u003c/p\u003e\r\n\r\n\r\n\r\n\u003c!-- CONTACT --\u003e\r\n## Contact\r\n\r\nSiddharth Sharma- [@sharmas1ddharth](https://twitter.com/sharmas1ddharth) - ssiddharth408@gmail.com\r\n\r\nProject Link: [https://github.com/sharmas1ddharth/Iris-classification](https://github.com/sharmas1ddharth/Iris-classification)\r\n\r\n\u003cp align=\"right\"\u003e(\u003ca href=\"#top\"\u003eback to top\u003c/a\u003e)\u003c/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c!-- MARKDOWN LINKS \u0026 IMAGES --\u003e\r\n\u003c!-- https://www.markdownguide.org/basic-syntax/#reference-style-links --\u003e\r\n[contributors-shield]: https://img.shields.io/github/contributors/sharmas1ddharth/Iris-classification.svg?style=for-the-badge\r\n[contributors-url]: https://github.com/sharmas1ddharth/Iris-classification/graphs/contributors\r\n[forks-shield]: https://img.shields.io/github/forks/sharmas1ddharth/Iris-classification.svg?style=for-the-badge\r\n[forks-url]: https://github.com/sharmas1ddharth/Iris-classification/network/members\r\n[stars-shield]: https://img.shields.io/github/stars/sharmas1ddharth/Iris-classification.svg?style=for-the-badge\r\n[stars-url]: https://github.com/sharmas1ddharth/Iris-classification/stargazers\r\n[issues-shield]: https://img.shields.io/github/issues/sharmas1ddharth/Iris-classification.svg?style=for-the-badge\r\n[issues-url]: https://github.com/sharmas1ddharth/Iris-classification/issues\r\n[license-shield]: https://img.shields.io/github/license/sharmas1ddharth/Iris-classification.svg?style=for-the-badge\r\n[license-url]: https://github.com/sharmas1ddharth/Iris-classification/blob/master/LICENSE.txt\r\n[linkedin-shield]: https://img.shields.io/badge/-LinkedIn-black.svg?style=for-the-badge\u0026logo=linkedin\u0026colorB=555\r\n[linkedin-url]: https://linkedin.com/in/sharmas1ddharth\r\n[product-screenshot]: other/screenshot.png\r\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsharmas1ddharth%2Firis-classification","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsharmas1ddharth%2Firis-classification","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsharmas1ddharth%2Firis-classification/lists"}