Language:
English
Pages:
1 online resource (1 video file, approximately 1 hr., 13 min.)
Edition:
1st edition
Keywords:
Electronic videos ; local
Abstract:
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
Note:
Online resource; Title from title screen (viewed March 20, 2021)
,
Mode of access: World Wide Web.
