Creating a conda environment and installing libraries
7
Configure DagsHub remote storage
8
Version code and data
9
Track experiments
10
Explore a new hypothesis
11
Recap
12
Conclusion
Description:
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