In this workshop, you will learn about and explore how to deploy a web app using Machine Learning Services to predict travel delays given flight delay data and weather conditions. We'll discover how to plan a bulk data import operation, followed by preparation, such as cleaning and manipulating the data for testing, and training your machine learning model.
At the end of this workshop, you will be better able to build a complete machine learning model in Azure Databricks for predicting if an upcoming flight will experience delays. In addition, you will learn to store the trained model in Azure Machine Learning Model Management, then deploy to Docker containers for scalable on-demand predictions, use Azure Data Factory (ADF) for data movement and operationalizing ML scoring, summarize data with Azure Databricks and Spark SQL, and visualize batch predictions on a map using Power BI.
Your cart is empty