How to Structure Machine Learning Project for Production?
Here's a fairly advanced data science project structure to minimize friction when deploying models, making heavy use of Docker.
Table of Content
Introduction: 0:00
Overview: 0:55
Code Overview: 2:07
Docker Image Vulnerability: 8:07
Chainguard Image: 8:41
Pro and Con of Docker for Data Science: 10:10
Pro:
Your data science environment is almost perfectly replicated.
Con:
You actually need to learn Docker lol
Cookiecutter I'm using as base:
📌 https://docker-science.github.io/
Pytorch Chainguard Image:
📌 https://images.chainguard.dev/directo...
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