Versioning ML Models & Automating ML Pipelines Effectively using DVC & CML |
In this video for complete beginners, I'll teach you about Data Version Control (DVC), a tool for adapting Git version control to machine learning projects.
DVC and CML are the tools that help us in versioning and automating the Machine Learning models and complete end-to-end pipelines. This video illustrates the demonstration of the complete end-to-end machine learning pipeline using DVC involving data and model versioning.
Github Repository for Code: https://github.com/ashutosh1919/dvc_demo
DVC : https://dvc.org/
CML : https://cml.dev/
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Tags:
DVC,CML,Data Version Control,Continuous Machine Learning,Model Versioning,Automating ML Pipelines,CI/CD for Deep Learning Project,CI/CD for ML Project,Data Versioning Python,Deep Learning,Data Science,version control,data science,machine learning,dvc,gitops,github,gitlab,best practices,version control best practices,version control software,open source,version control tutorial,version control in data science,git for data science,git for data scientists
#dvc #ml #datascience