https://github.com/dslp/dslp

The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process is documented in this repo.
https://github.com/dslp/dslp

Last synced: 30 days ago
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The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process is documented in this repo.

• Host: GitHub
• URL: https://github.com/dslp/dslp
• Owner: dslp
• License: mit
• Created: 2020-04-24T14:52:07.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2021-05-04T13:34:56.000Z (about 3 years ago)
• Last Synced: 2024-01-28T23:40:57.228Z (4 months ago)
• Homepage:
• Size: 292 KB
• Stars: 379
• Watchers: 16
• Forks: 62
• Open Issues: 6

Lists

• awesome-stars - dslp/dslp - The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process is documented in this repo. (Others)
• awesome-datascience - The Data Science Lifecycle Process
• Awesome-Azure-Advanced-Analytics - Data Science Lifecycle Process - Best practices for data science teams, including issue templates, branching strategy, workflows, labels, standard repo structure. (AI + Machine Learning / Machine Learning)
• awesome-no-bullshit-data - https://github.com/dslp/dslp
• awesome-datascience - The Data Science Lifecycle Process
• jimsghstars - dslp/dslp - The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process is documented in this repo. (Others)
• awesome-datascience - The Data Science Lifecycle Process