Learn how to leverage DagsHub for machine learning projects in this practical tutorial video. Explore the process of creating a project, setting up a conda environment, configuring remote storage, versioning code and data, tracking experiments, and investigating new hypotheses. Follow along with step-by-step instructions to gain hands-on experience in MLOps practices using DagsHub's platform. Discover how to streamline your machine learning workflow and improve collaboration in data science projects.
MLOps 101 - A Practical Tutorial on Creating a Machine Learning Project with DagsHub
Overview
Syllabus
Introduction
About DagsHub
Signing in to DagsHub
Getting started tutorial
Create a project on DagsHub
Creating a conda environment and installing libraries
Configure DagsHub remote storage
Version code and data
Track experiments
Explore a new hypothesis
Recap
Conclusion
Taught by
Data Professor
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