II.
LibrarySkill overview
Reference · livelib-skill:data-science-ml--dvc-dataset-versioning
dvc-dataset-versioning overview
Dataset versioning skill using DVC for tracking data changes, managing data pipelines, and ensuring reproducibility.
Attributes
displayName
dvc-dataset-versioning
description
Dataset versioning skill using DVC for tracking data changes, managing data pipelines, and ensuring reproducibility.
libraryPath
library/specializations/data-science-ml/skills/dvc-dataset-versioning/SKILL.md
specialization
data-science-ml
contentSummary
# dvc-dataset-versioning
## Overview
Dataset versioning skill using DVC (Data Version Control) for tracking data changes, managing data pipelines, and ensuring reproducibility in ML workflows.
## Capabilities
- Dataset version tracking
- Data pipeline definition and execution
- Remote
Outgoing edges
lib_applies_to_domain1
- domain:data-science·DomainData Science
lib_belongs_to_specialization1
- specialization:data-science-ml·Specialization
lib_covers_topic1
- topic:data-mesh·TopicData Mesh
lib_implements_workflow1
- workflow:ml-model-lifecycle·WorkflowML Model Lifecycle
lib_involves_role2
- role:ml-engineer·RoleMachine Learning Engineer
- role:data-scientist·RoleData Scientist
lib_requires_skill_area2
- skill-area:data-quality·SkillAreaData Quality
- skill-area:data-pipeline-testing·SkillAreaData Pipeline Testing
Incoming edges
None.