{"id":26417732,"url":"https://github.com/compcode1/analysis-synthetic-dataset-optimization-techniques","last_synced_at":"2025-03-18T01:15:58.207Z","repository":{"id":246828514,"uuid":"822311009","full_name":"Compcode1/analysis-synthetic-dataset-optimization-techniques","owner":"Compcode1","description":"This project focuses on the critical analysis of synthetic health metrics and the optimization of advanced algorithms used for data processing and analysis.","archived":false,"fork":false,"pushed_at":"2024-07-04T01:12:04.000Z","size":18,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-18T01:15:54.834Z","etag":null,"topics":["comparisons","dataset","efficiency","utility"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/Compcode1.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}},"created_at":"2024-06-30T22:05:14.000Z","updated_at":"2024-08-09T13:39:04.000Z","dependencies_parsed_at":null,"dependency_job_id":"870ea163-b6e1-44dd-bcb1-913bba60ecce","html_url":"https://github.com/Compcode1/analysis-synthetic-dataset-optimization-techniques","commit_stats":null,"previous_names":["compcode1/health_data_project","compcode1/analysis-synthetic-dataset-optimization-techniques"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Compcode1%2Fanalysis-synthetic-dataset-optimization-techniques","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Compcode1%2Fanalysis-synthetic-dataset-optimization-techniques/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Compcode1%2Fanalysis-synthetic-dataset-optimization-techniques/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Compcode1%2Fanalysis-synthetic-dataset-optimization-techniques/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Compcode1","download_url":"https://codeload.github.com/Compcode1/analysis-synthetic-dataset-optimization-techniques/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244135913,"owners_count":20403798,"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":["comparisons","dataset","efficiency","utility"],"created_at":"2025-03-18T01:15:57.356Z","updated_at":"2025-03-18T01:15:58.202Z","avatar_url":"https://github.com/Compcode1.png","language":"Jupyter Notebook","readme":"# Critical Analysis of Synthetic Health Metrics and Advanced Algorithm Optimization\n\n## Introduction\nThis project focuses on the critical analysis of synthetic health metrics and the optimization of advanced algorithms used for data processing and analysis.\n\n## Objectives\n1. Assess the accuracy/ viability of synthetic health data.\n2. Optimize data processing algorithms for efficiency.\n\n## Files\n- `Critical Analysis of Synthetic Health Metrics and Advanced Algorithm Optimization1.ipynb`: The main Jupyter Notebook containing the analysis.\n- `data/`: Directory containing the dataset files.\n- `src/`: Source code for data analysis and processing.\n\n## Installation\nTo run this project, you need to have Python and Jupyter Notebook installed. You can install the required packages using:\n```bash\npip install -r requirements.txt\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcompcode1%2Fanalysis-synthetic-dataset-optimization-techniques","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcompcode1%2Fanalysis-synthetic-dataset-optimization-techniques","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcompcode1%2Fanalysis-synthetic-dataset-optimization-techniques/lists"}