> For the complete documentation index, see [llms.txt](https://all-things-machine-learning.gitbook.io/all-things-machine-learning/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://all-things-machine-learning.gitbook.io/all-things-machine-learning/welcome.md).

# Welcome!

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This website started as an outlet for me to geek out on why I am absolutely in love with ALL THINGS ML. Now, I hope, it does the same for you :)
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## Quick links

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[Production ML](/all-things-machine-learning/production-ml/props-to-mlops.md)
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[Chai & AI with Vaishnavi](/all-things-machine-learning/chai-and-ai-with-vaishnavi/is-my-dataset-big-enough-for-my-image-classification-use-case.md)
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[How-Tos](/all-things-machine-learning/how-tos/scikit-learn-pipelines.md)
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[Crazy Projects](/all-things-machine-learning/crazy-projects/getting-inspired-by-the-netflix-ml-team.md)
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**More about me:** Hi! I am Vaishnavi. I am a MLOps Engineer at Intuitive.Cloud. You can find me on [LinkedIn](https://www.linkedin.com/in/vaishnavisonawane/). Drop in whenever to say Hi and discuss All things ML :)