In this video, you will learn how to use an external python function to run your data through a forecast evaluation. Using Python files uploaded to the cloud environment within the Azure Machine Learning Studio, you can call functions within those files from the Jupyter Notebooks within the same cloud environment.
This video shows how to build, train and deploy a time series forecasting solution with Azure Machine Learning. You are guided through every step of the modeling process including:
• Set up your development environment
• Access and examine the data
• Train using an Automated Machine Learning
• Explore the results
• Register and access your time series forecasting model through the Azure portal. Video Rating: / 5
Прогноз продаж сети магазинов Walmart используя исторические данные и регрессионный анализ Microsoft Azure Machine Learning Studio Video Rating: / 5