Minimal example to setup a Jenkins-CI pipeline for data science projects on OpenShift in a couple of minutes.
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Updated
Dec 19, 2023 - Dockerfile
Minimal example to setup a Jenkins-CI pipeline for data science projects on OpenShift in a couple of minutes.
Docker Environment for data science
🚀 Get started with a Jupyter datascience template
Multi-docker container data science / engineering playground (w/ Kafka, Airflow, MLFlow, Tensorflow-Keras / SKLearn) for simulating a microservices-oriented architecture
Thin docker image for Python and R
Using Docker for Datascience
Generate a pseudorandom data set to simulate an experiment. This web application is suitable for educational and research purposes in experimental and quantitative sciences. It allows the creation of varied data sets with specified structures, such as between-group and within-participant variables, that can be categorical or continuous.
A compilation of tailor-made containers for our own purposes but probably useful for a lot of other projects, ready to use.
Jupyter Notebook + Docker Compose
my datascience dockerfiles
Blog sobre ciência de dados da UFC, Campus de Sobral
This is the docker container I use to serve my machine learning model in a (fast)API
Estadísticas COVID Chile (datos minciencia.gob.cl). El reporte principal (README.md) se compila de manera automática utilizando Docker.
Anaconda environment using Docker
Docker files for data science with R on GCP
docker file of a Python environment for developing machine learning projects
Docker image build from jupyter/scipy-notebook that allows the developer to use python kafka modules in python notebooks.
Ready-to-run Docker images containing Jupyter applications
Add a description, image, and links to the datascience topic page so that developers can more easily learn about it.
To associate your repository with the datascience topic, visit your repo's landing page and select "manage topics."