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sfguide-getting-started-with-snowpark-for-machine-learning-on-azureml

Overview

In this guide, we will perform data preperation and machine learning tasks to train a model to predict machine failure using AzureML, Snowpark for Python and scikit-learn. By the end of the session, you will have built a model in AzureML and deployed it to Snowflake.

Step-By-Step Guide

For prerequisites, environment setup, step-by-step guide and instructions, please refer to the QuickStart Guide.

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  • Jupyter Notebook 69.2%
  • Python 30.8%