Zero to One: Data Science to MLOps

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