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https://github.com/vjpaij/datascience-complete
Various methods and E2E deployment of ML
https://github.com/vjpaij/datascience-complete
Last synced: about 8 hours ago
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Various methods and E2E deployment of ML
- Host: GitHub
- URL: https://github.com/vjpaij/datascience-complete
- Owner: vjpaij
- Created: 2024-11-03T14:03:04.000Z (16 days ago)
- Default Branch: main
- Last Pushed: 2024-11-03T17:21:37.000Z (16 days ago)
- Last Synced: 2024-11-03T18:22:58.715Z (16 days ago)
- Language: Jupyter Notebook
- Size: 70.3 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
The fundamentals and advanced concepts of Machine Learning
Supervised and unsupervised learning algorithms
Deep learning and CNNs for an intuitive understanding of complex models
Cutting-edge NLP techniques and projects
Essential MLOps tools like CI/CD pipelines, GitHub Actions, MLflow, BentoML, and DVC for seamless project management and deployment