1 0 from zero to one datascience to mlops
54Zero 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 production 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://lnkd.in/eYq9pZV
Stream on O'Reilly: https://lnkd.in/eFuamti
Subscribe on Podia: https://store.paiml.com If you enjoyed this video, here are additional resources to look at:
Coursera + Duke Specialization: Building Cloud Computing Solutions at Scale Specialization: https://www.coursera.org/specializations/building-cloud-computing-solutions-at-scale
O'Reilly Book: Practical MLOps: https://www.amazon.com/Practical-MLOps-Operationalizing-Machine-Learning/dp/1098103017
O'Reilly Book: Python for DevOps: https://www.amazon.com/gp/product/B082P97LDW/
Pragmatic AI: An Introduction to Cloud-based Machine Learning: https://www.amazon.com/gp/product/B07FB8F8QP/
Pragmatic AI Labs Book: Python Command-Line Tools: https://www.amazon.com/gp/product/B0855FSFYZ
Pragmatic AI Labs Book: Cloud Computing for Data Analysis : https://www.amazon.com/gp/product/B0992BN7W8
Pragmatic AI Book: Minimal Python: https://www.amazon.com/gp/product/B0855NSRR7
Pragmatic AI Book: Testing in Python: https://www.amazon.com/gp/product/B0855NSRR7
Subscribe to Pragmatic AI Labs YouTube Channel: https://www.youtube.com/channel/UCNDfiL0D1LUeKWAkRE1xO5Q
View content on noahgift.com: https://noahgift.com/
View content on Pragmatic AI Labs Website: https://paiml.com/
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