docker-science/cookiecutter-docker-science
Cookiecutter template for data scientists working with Docker containers
This project helps data scientists set up and manage their machine learning experiments to ensure results are consistent and reproducible. It takes your project name and data source, then generates a structured project directory with pre-configured Docker settings and useful scripts. Anyone running machine learning or data mining experiments who struggles with inconsistent environments will find this helpful.
360 stars. No commits in the last 6 months.
Use this if you are a data scientist who wants to create a standardized, reproducible machine learning project environment using Docker, without manually configuring everything from scratch.
Not ideal if you prefer to manage your project environments without Docker or are looking for a template for general software development rather than data science-specific tasks.
Stars
360
Forks
81
Language
Makefile
License
Apache-2.0
Category
Last pushed
Oct 14, 2021
Commits (30d)
0
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