Join Ashraf for an exciting session about exploring the self-service capabilities in the Data Science experience in Microsoft Fabric.

You will learn how those new features empower Data Scientists to build an end-to-end predictive machine learning model without writing a single line of code.

Ashraf will explain the fundamental concept of the classical Machine Learning and the optimum AutoML process then he will walk you through a step-by-step process to use the self-service Data Wrangler for efficient data preparation and using Fabric AutoML to build a customer churn predictive model with the highest level of prediction accuracy.

By the end of the session, you'll understand how Fabric streamlines the data science workflows for impactful insights.