Loading repository data…
Loading repository data…
ElectronicCats / repository
Pagina Web de máquinas Inteligentes es un programa educativo en español, para desarrollar habilidades interpretativas de lectura de información, obtenida a través de los sensores en dispositivos embebidos.
A transparent discovery signal based on current public GitHub metadata.
This score does not audit code, security, maintainers, documentation quality, or suitability. Verify the repository and its current documentation before adoption.
Curso de Tiny Machine Learning y Análisis de datos
Máquinas Inteligentes es un programa educativo, para desarrollar habilidades interpretativas de lectura de información, obtenida a través de los sensores en dispositivos embebidos (Microcontroladores), utilizando una interfaz amigable de programación que permite utilizarla sin ser un experto en programación y/o matemáticas.
Este es el repositorio de mantenimiento de la pagina http://maquinasinteligentes.org/
Para disfrutar la version completa entra a http://maquinasinteligentes.org/
Nos gustaría saber en donde replicaste este curso, compartenos tu experiencia junto a diferentes educadores de latinoamérica en el Facebook oficial del curso. Puedes aportar con tus experiencias y recomendaciones.
Abre un issue en este repositorio, todas las contribuciones son bienvenidos o pullrequest
In the project directory, you can run:
yarn startRuns the app in the development mode.
Open http://localhost:3000 to view it in the browser.
The page will reload if you make edits.
You will also see any lint errors in the console.
yarn testLaunches the test runner in the interactive watch mode.
See the section about running tests for more information.
yarn buildBuilds the app for production to the build folder.
It correctly bundles React in production mode and optimizes the build for the best performance.
The build is minified and the filenames include the hashes.
Your app is ready to be deployed!
See the section about deployment for more information.
you can set the env var creating a .env file Remember set yours envs in your .github/workflow from your repoistories secrests.
Electronic Cats invests time and resources providing this open source design, please support Electronic Cats and open-source hardware by purchasing products from Electronic Cats!
To add a new Class in the landing page, need add the card information in src\consts\courses\CardList.js & mede match the Id of card and the exported data from src\consts\courses\index.js the follow the current structure for data.
To use contact form need set up your EmailJS count & updete .env file in the root of this project. can update for any other emailer.
All the envars used in this project need to be seted into repository secrets.
and applyed into the .gihub/workflows/cd pipeline to applyed on the process
GPL-3.0 License