Zero to One: Data Science to MLOps
Zero to One: Data Science to MLOps
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 1h 12m | 945 MB
Instructors: Alfredo Deza, Noah Gift
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 1h 12m | 945 MB
Instructors: Alfredo Deza, Noah Gift
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
Zero to One: Data Science to MLOps
