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README.md

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@@ -67,7 +67,6 @@ git clone https://github.com/khuyentran1401/Data-science
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| Create Robust Data Pipelines with Prefect, Docker, and GitHub | [🔗](https://towardsdatascience.com/create-robust-data-pipelines-with-prefect-docker-and-github-12b231ca6ed2) | [🔗](https://github.com/khuyentran1401/prefect-docker)
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| Create a Maintainable Data Pipeline with Prefect and DVC | [🔗](https://towardsdatascience.com/create-a-maintainable-data-pipeline-with-prefect-and-dvc-1d691ea5bcea) | [🔗](https://github.com/khuyentran1401/prefect-dvc)
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| Build a Full-Stack ML Application With Pydantic And Prefect | [🔗](https://towardsdatascience.com/build-a-full-stack-ml-application-with-pydantic-and-prefect-915f00fe0c62) | [🔗](https://github.com/khuyentran1401/iris-prefect) | [🔗](https://youtu.be/c-Bqg7Gbuc8)
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| Streamline Code Updates with DVC and GitHub Actions | [🔗](https://codecut.ai/streamline-code-updates-with-dvc-and-github-actions/?utm_source=github&utm_medium=data_science_repo&utm_campaign=blog) | [🔗](https://github.com/khuyentran1401/prefect-dvc/tree/dvc-pipeline) | [🔗](https://youtu.be/jZu7LPKIOlY)
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| Create Observable and Reproducible Notebooks with Hex | [🔗](https://towardsdatascience.com/create-observable-and-reproducible-notebooks-with-hex-460e75818a09) | [🔗](https://github.com/khuyentran1401/customer_segmentation/tree/prefect2) | [🔗](https://youtu.be/_BjqCrun4nE)
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| Build Reliable Machine Learning Pipelines with Continuous Integration | [🔗](https://codecut.ai/build-reliable-machine-learning-pipelines-with-continuous-integration-2/?utm_source=github&utm_medium=data_science_repo&utm_campaign=blog) | [🔗](https://github.com/khuyentran1401/cicd-mlops-demo) | [🔗](https://youtu.be/rkg09nNMAhs)
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| Automate Machine Learning Deployment with GitHub Actions | [🔗](https://codecut.ai/automate-machine-learning-deployment-with-github-actions-2/?utm_source=github&utm_medium=data_science_repo&utm_campaign=blog) | [🔗](https://github.com/khuyentran1401/cicd-mlops-demo) | [🔗](https://youtu.be/728M0yhI0_M)

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