Hola! 👋 has encontrado el lugar dónde he guardado todos los recursos del curso machine learning una introducción práctica.
Todo el curso le he hecho en directo en Twitch y resubido por capítulos a youtube, además de esto he ido escribiendo artículos relacionado con lo que he aprendido en mi blog en el apartado de big data.
Dentro del repositorio podrás encontrar los notebooks de los laboratorios que hemos ido haciendo en el curso dentro del directorio notebooks
If you want to start up a Jupyterlab server, connect into it to start and start working with notebooks just run:
sh run.sh
This scrip just create a .env
file, a Docker image and run it with some parameters.
:warning: There is a problem right there: there is not ssl certificates for the local
server and it shows a message saying that is not secure, just ignore it for now. I will
try to fix it
If you want to export your notebooks in notebooks/
directory as the are to html
format without run it you can use:
sh build.sh
This script creates on the same way as the run.sh
but on detach mode, run a command
into the docker container and stop it.
If you want to run your notebooks under the notebooks/
directory and export the
output into html
format you can use:
sh run-and-build.sh
This script creates on the same way as the run.sh
but on detach mode, run a command
into the docker container and stop it.
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👨💻 Si quieres saber mas de mi, todo mi contenido esta en mi web: cristiansuarez.dev
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📫 Cualquier cosa puede contactarme por mail: [email protected]