Zero to One: Data Science to MLOps | Pragmatic AI Solutions

Zero to One: Data Science to MLOps in One Hour.
Learn to frame a problem, then convert it into a data science project and present it to stakeholders. Later, move that prediction system to producting using MLOps
Topics include:
* Big Tech Misinformation and what can be done about it using Data Science.
* Doing MLOps with sklearn and Flask by creating Microservices
* Using sklearn, pandas, plotly, matplotlib, KMeans clustering, ELI5, shap and other libraries
* Putting code into production using the Python MLOps Cookbook found here:

https://github.com/noahgift/data-story-telling

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nitroflare.com/view/B0A60E2DDF79CF2/Zero-to-One-Data-Science-to-MLOps.part2.rar

rapidgator.net/file/37dd0c0c98750ede673aa2f786e6a98c/Zero-to-One-Data-Science-to-MLOps.part1.rar.html
rapidgator.net/file/015f0869b0be92bc5e1677acd3ea0906/Zero-to-One-Data-Science-to-MLOps.part2.rar.html

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