inst/user2020_tutorials/episode0_vanilla_R/README.md
In Netflix/user2020-metaflow-tutorial: USER2020 Metaflow Tutorials
Showcasing:
The common pain points of a typical data science workflow:
1. Keep code and models/data in sync.
2. Keep track of model development and experimentation.
3. Need to re-run from scratch if one step fails.
Netflix/user2020-metaflow-tutorial documentation built on Aug. 8, 2020, 12:03 a.m.
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Showcasing:
The common pain points of a typical data science workflow: 1. Keep code and models/data in sync. 2. Keep track of model development and experimentation. 3. Need to re-run from scratch if one step fails.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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