{"id":20138656,"url":"https://github.com/developerwilliams/iris-dataset-data-analysis-and-machine-learning","last_synced_at":"2026-01-28T23:32:41.634Z","repository":{"id":251355145,"uuid":"837170744","full_name":"DeveloperWilliams/Iris-Dataset-Data-Analysis-and-Machine-Learning","owner":"DeveloperWilliams","description":"A script that loads a dataset, performs some data preprocessing, trains a machine learning model, and visualizes the results.","archived":false,"fork":false,"pushed_at":"2024-09-29T05:04:28.000Z","size":4127,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-09-21T07:36:35.247Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/DeveloperWilliams.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"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,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2024-08-02T11:12:38.000Z","updated_at":"2024-11-06T23:22:50.000Z","dependencies_parsed_at":"2025-09-21T07:30:56.644Z","dependency_job_id":"dd78b074-5988-455d-8730-da2802acec3e","html_url":"https://github.com/DeveloperWilliams/Iris-Dataset-Data-Analysis-and-Machine-Learning","commit_stats":null,"previous_names":["developerwilliams/iris-dataset-data-analysis-and-machine-learning"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/DeveloperWilliams/Iris-Dataset-Data-Analysis-and-Machine-Learning","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DeveloperWilliams%2FIris-Dataset-Data-Analysis-and-Machine-Learning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DeveloperWilliams%2FIris-Dataset-Data-Analysis-and-Machine-Learning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DeveloperWilliams%2FIris-Dataset-Data-Analysis-and-Machine-Learning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DeveloperWilliams%2FIris-Dataset-Data-Analysis-and-Machine-Learning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DeveloperWilliams","download_url":"https://codeload.github.com/DeveloperWilliams/Iris-Dataset-Data-Analysis-and-Machine-Learning/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DeveloperWilliams%2FIris-Dataset-Data-Analysis-and-Machine-Learning/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28855141,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-28T22:56:21.783Z","status":"ssl_error","status_checked_at":"2026-01-28T22:56:00.861Z","response_time":57,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":"2024-11-13T21:40:07.906Z","updated_at":"2026-01-28T23:32:41.606Z","avatar_url":"https://github.com/DeveloperWilliams.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Iris Analysis\n\nThis README file provides an overview of the `iris_analysis.py` script, which is used for analyzing the Iris dataset.\n\n## Introduction\n\nThe `iris_analysis.py` script is designed to perform various analyses on the famous Iris dataset. This dataset contains measurements of four features (sepal length, sepal width, petal length, and petal width) for three different species of Iris flowers (setosa, versicolor, and virginica).\n\n## Usage\n\nTo use the `iris_analysis.py` script, follow these steps:\n\n1. Ensure that you have Python installed on your system.\n2. Download the Iris dataset and save it in the same directory as the script.\n3. Open a terminal or command prompt and navigate to the directory containing the script.\n4. Run the script using the following command: `python iris_analysis.py`\n\n## Functionality\n\nThe `iris_analysis.py` script provides the following functionality:\n\n- Loading the Iris dataset from a CSV file.\n- Preprocessing the dataset by handling missing values and scaling the features.\n- Exploratory data analysis, including summary statistics and visualizations.\n- Training and evaluating machine learning models for classification tasks.\n- Generating predictions for new data points using the trained models.\n\n## Dependencies\n\nThe `iris_analysis.py` script requires the following dependencies:\n\n- Python 3.x\n- NumPy\n- Pandas\n- Matplotlib\n- Scikit-learn\n\nPlease ensure that these dependencies are installed before running the script.\n\n## License\n\nThis script is released under the MIT License. See the [LICENSE](LICENSE) file for more information.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdeveloperwilliams%2Firis-dataset-data-analysis-and-machine-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdeveloperwilliams%2Firis-dataset-data-analysis-and-machine-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdeveloperwilliams%2Firis-dataset-data-analysis-and-machine-learning/lists"}