{"id":23849129,"url":"https://github.com/igorrc/ml-algorithms-pathfinder","last_synced_at":"2026-06-24T05:31:34.523Z","repository":{"id":264877468,"uuid":"894555177","full_name":"IgorRC/ml-algorithms-pathfinder","owner":"IgorRC","description":"Comparison of machine learning algorithm performance","archived":false,"fork":false,"pushed_at":"2025-02-03T22:45:30.000Z","size":530,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-11-12T05:37:19.509Z","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/IgorRC.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":"2024-11-26T15:03:05.000Z","updated_at":"2025-02-03T22:45:34.000Z","dependencies_parsed_at":"2025-01-31T21:31:23.274Z","dependency_job_id":null,"html_url":"https://github.com/IgorRC/ml-algorithms-pathfinder","commit_stats":null,"previous_names":["igorrc/ml-algorithms-pathfinder"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/IgorRC/ml-algorithms-pathfinder","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IgorRC%2Fml-algorithms-pathfinder","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IgorRC%2Fml-algorithms-pathfinder/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IgorRC%2Fml-algorithms-pathfinder/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IgorRC%2Fml-algorithms-pathfinder/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/IgorRC","download_url":"https://codeload.github.com/IgorRC/ml-algorithms-pathfinder/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IgorRC%2Fml-algorithms-pathfinder/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34719097,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-24T02:00:07.484Z","response_time":106,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":"2025-01-02T21:56:38.273Z","updated_at":"2026-06-24T05:31:34.501Z","avatar_url":"https://github.com/IgorRC.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Proyecto de Algoritmos de Aprendizaje Automatico\n\nEste proyecto utiliza un algoritmos para predecir especializaciones académicas basándose en datos procesados. El código está escrito en Python y utiliza bibliotecas populares de aprendizaje automático.\n\n## Requisitos Previos\n\nAsegúrate de tener instalado lo siguiente en tu máquina:\n\n1. **Python**: Versión 3.8 o superior.\n2. **pip**: Administrador de paquetes para Python.\n3. **git**: Para gestionar el repositorio.\n\n## Lista de Librerías\n\nEl script utiliza las siguientes bibliotecas:\n\n1. **os**: *Incluida en la biblioteca estándar de Python (no requiere instalación).*\n2. **dotenv**: *Carga variables de entorno desde un archivo .env.*\n3. **pandas**: *Manejo y análisis de datos.*\n4. **scikit-learn**: *Algoritmos de aprendizaje automático y herramientas para preprocesamiento y evaluación.*\n5. **matplotlib**: *Visualización de datos y gráficos.*\n\n## Pasos de instalacion\n1. Crear y Activar un Entorno Virtual (Recomendado)\n    \n    *Un entorno virtual ayuda a evitar conflictos entre dependencias de proyectos.*\n\n    1.1.- Crear el entorno virtual\n    ```bash\n    python -m venv sklearn-env\n    ```\n    \n    2.2- Activar el entorno virtual\n    \n    En Windows \n    ```bash\n    .\\sklearn-env\\Scripts\\activate\n    ```\n    En macOS/Linux\n    ```bash\n    source sklearn-env/bin/activate\n    ```\n\n2. Instalar las Librerías\n\n    Ejecuta el siguiente comando para instalar las dependencias:\n    ```bash\n    pip install python-dotenv pandas scikit-learn matplotlib\n    ```\n\n### 1. Clonar el repositorio\nClona este proyecto usando Git:\n\n```bash\nhttps://github.com/IgorRC/ml-algorithms-pathfinder.git\n```\n### 2.- Ejecuutar en el terminal\n\n```bash\npython file.py\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Figorrc%2Fml-algorithms-pathfinder","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Figorrc%2Fml-algorithms-pathfinder","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Figorrc%2Fml-algorithms-pathfinder/lists"}