MLOps 101 - A Practical Tutorial on Creating a Machine Learning Project with DagsHub

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.

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