{"id":22758955,"url":"https://github.com/sanchezluys/inmersion-en-datos-con-python-2024","last_synced_at":"2026-04-28T22:31:19.699Z","repository":{"id":249665888,"uuid":"832174121","full_name":"sanchezluys/Inmersion-en-Datos-con-Python-2024","owner":"sanchezluys","description":"Inmersión en Datos con Python Julio 2024","archived":false,"fork":false,"pushed_at":"2024-07-29T15:09:49.000Z","size":1777,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-30T08:29:33.286Z","etag":null,"topics":["analisis-de-data","colab","inmersiondatosaluralatam","numpy","pyhton"],"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/sanchezluys.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":"2024-07-22T13:30:34.000Z","updated_at":"2024-07-29T15:09:51.000Z","dependencies_parsed_at":"2024-07-29T19:30:09.775Z","dependency_job_id":"2bf61e48-2a2c-440c-a7fe-d47c065d7c8b","html_url":"https://github.com/sanchezluys/Inmersion-en-Datos-con-Python-2024","commit_stats":null,"previous_names":["sanchezluys/inmersi-n-en-datos-con-python-2024"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/sanchezluys/Inmersion-en-Datos-con-Python-2024","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sanchezluys%2FInmersion-en-Datos-con-Python-2024","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sanchezluys%2FInmersion-en-Datos-con-Python-2024/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sanchezluys%2FInmersion-en-Datos-con-Python-2024/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sanchezluys%2FInmersion-en-Datos-con-Python-2024/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sanchezluys","download_url":"https://codeload.github.com/sanchezluys/Inmersion-en-Datos-con-Python-2024/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sanchezluys%2FInmersion-en-Datos-con-Python-2024/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32402666,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-28T19:38:08.556Z","status":"ssl_error","status_checked_at":"2026-04-28T19:37:55.688Z","response_time":56,"last_error":"SSL_read: 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":["analisis-de-data","colab","inmersiondatosaluralatam","numpy","pyhton"],"created_at":"2024-12-11T08:16:42.537Z","updated_at":"2026-04-28T22:31:19.683Z","avatar_url":"https://github.com/sanchezluys.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 📊 Curso de Inmersión de Datos con Python - Alura Latam\n\nEste repositorio contiene los proyectos y ejercicios realizados durante el curso de Inmersión de Datos con Python en Alura Latam.\n\n## 📝 Descripción\n\nEn este curso, aprenderemos a preprocesar y explorar datos utilizando Python y librerías como Pandas, Numpy, y Matplotlib. El curso está dividido en varias clases donde cubrimos diferentes aspectos del análisis de datos.\n\n## Tareas Principales\n1. Preposesamiento de datos\n2. Exploracion de datos\n3. Construccion de modelos\n4. Evaluacion y seleccion del modelo\n\n\n\n\n\n## 📚 Clases\n\n### 🧩 Clase 01: Preprocesamiento y Exploración de Datos\nEn esta clase, veremos cómo:\n\n- Cargar datos en un DataFrame de Pandas.\n- Inspeccionar y entender la estructura de los datos.\n- Limpiar y preparar los datos para el análisis.\n- Realizar análisis exploratorio de datos (EDA) para obtener información relevante.\n\n\n### Clase 02: pendiente\nEn esta clase, veremos cómo:\n\n- pendiente\n\n\n\n\n## 🛠️ Requisitos\n\n- Python 3.7 o superior\n- Jupyter Notebook\n- Pandas\n- Numpy\n- Matplotlib\n\n## 🚀 Instalación\n\n1. Clona este repositorio:\n   ```bash\n   git clone https://github.com/tu-usuario/inmersion-datos-python.git\n\n# Diagrama de Flujo del Proceso de Datos\n\n```mermaid\nflowchart TD\n    A[Inicio] --\u003e B[Revisar datos]\n    B --\u003e C{¿Existen datos categóricos?}\n    C --\u003e|Sí| D[Convertir datos categóricos en números]\n    D --\u003e E[Revisar si existen datos discretos]\n    C --\u003e|No| E\n    E --\u003e F{¿Existen datos discretos?}\n    F --\u003e|Sí| G[Revisar y ajustar datos discretos]\n    F --\u003e|No| H[Fin]\n    G --\u003e H\n```\n\n2. Contribuciones\n\nLas contribuciones son bienvenidas. Si deseas contribuir, por favor sigue los siguientes pasos:\n\n    Haz un fork del repositorio.\n    Crea una nueva rama con tu contribución: git checkout -b mi-contribucion\n    Realiza tus cambios y haz commit de los mismos: git commit -m 'Agregar mi contribución'\n    Sube tus cambios a tu repositorio fork: git push origin mi-contribucion\n    Crea un pull request en GitHub.\n\nLicencia\n\nEste proyecto está bajo la Licencia MIT. Consulta el archivo LICENSE para más detalles.\nContacto\n\nSi tienes alguna pregunta o sugerencia, no dudes en contactarme a través de github\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsanchezluys%2Finmersion-en-datos-con-python-2024","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsanchezluys%2Finmersion-en-datos-con-python-2024","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsanchezluys%2Finmersion-en-datos-con-python-2024/lists"}