Machine Learning with Fabric Data Science and Jupyter Notebooks
This video walks through the process of moving a local Jupyter notebook from Anaconda to Microsoft Fabric Data Science, using a dataset on SpaceX launches to predict successful missions. Viewers will learn how to leverage Fabric Data Science without needing prior knowledge of developing machine learning models.
Description
This is a quick walk-through showing how to move a local Jupyter notebook from local Anaconda processing to Microsoft Fabric Data Science.
The data set is a table of SpaceX launches, and the model used is a predictor of successful launches. However, the focus of the video is on using Fabric Data Science so no knowledge of how to develop Machine Learning models is needed!
This video accompanies a post on my blog: https://robkerr.ai/using-fabric-data-science-with-jupyter-notebooks
0:00 Introduction
1:20 Visual Studio Code Notebook
1:59 Run Local Notebook
2:28 Microsoft Fabric
2:42 Upload Data File
3:24 Upload Notebook
4:28 Update file import
5:19 Run Fabric Notebook
5:57 Summary