Supercharge your data science workflow with Python and Visual Studio Code | BOD102

From the creator

Visual Studio Code offers many great features for Data Scientists and Python developers alike. Explore and experiment on your data using the flexibility of Jupyter Notebooks combined with the power and productivity of VS Code. Then turn your experimental code into production code with the help of the Azure Machine Learning extension, through hyperparameter tuning and deploying your models. Learn how to supercharge your data science and machine learning workflow with VS Code, the Python extension and the Azure ML extension. Microsoft Learn -- https://docs.microsoft.com/learn/?WT.mc_id=Build2020_presentation_additionalresources Microsoft Docs -- https://docs.microsoft.com/?WT.mc_id=Build2020_presentation_additionalresources Channel 9 -- https://channel9.msdn.com/?WT.mc_id=Build2020_presentation_additionalresources Related Sessions INT165B -- https://mybuild.microsoft.com/sessions/INT165B?wt.mc_id=yt_PLlrxD0HtieHhlbuh4wiUVHGeVw8vY4Rco INT165C -- https://mybuild.microsoft.com/sessions/INT165C?wt.mc_id=yt_PLlrxD0HtieHhlbuh4wiUVHGeVw8vY4Rco INT165A -- https://mybuild.microsoft.com/sessions/INT165A?wt.mc_id=yt_PLlrxD0HtieHhlbuh4wiUVHGeVw8vY4Rco Microsoft Build 2020

Published 2020-05-25 · Watch on YouTube ↗
Availability and playback restrictions are controlled by the original channel.