{"repo":"IBM/data-science-best-practices","free":true,"listed":false,"github":"https://github.com/IBM/data-science-best-practices","clone":"git clone https://github.com/IBM/data-science-best-practices.git","description":"The goal of this repository is to enable data scientists and ML engineers to develop data science use cases and making it ready for production use. This means focusing on the versioning, scalability, monitoring and engineering of the solution.","language":"Ruby","stars":97,"topics":["ai","python","devops","machine-learning","mlops","ibm","analytics","data-science","datascience","best-practices"],"license":"CC-BY-4.0","category":"analytics","readme_excerpt":"IBM Data Science - Best Practices &middot; Read Me Go to IBM Data Science - Best Practices website. License See License Need Help Reach us at on Slack #datascience-best-practices (IBM Internal)","default_branch":null,"files":null,"tree":[],"storefront":"/r/IBM","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/IBM/data-science-best-practices/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}