Getting Started with Data Science in Microsoft Fabric

Machine Learning and AI are everywhere, but getting started can feel overwhelming. The good news? You don't need a PhD in Mathematics to build useful predictive models in Microsoft Fabric. In this demo-driven session, you'll learn how to use Fabric notebooks and Python to build your first Machine Learning model from scratch. We'll cover: - Perform Exploratory Data Analysis (EDA) to discover patterns and relationships in your data. - Machine Learning fundamentals: understand the difference between classification and regression, training and test datasets, model evaluation and common performance metrics. - Automated Machine Learning in Microsoft Fabric: use AutoML and FLAML (Fast Library for Automated Machine Learning) to build accurate predictive models without needing in-depth knowledge of every algorithm. - Regression Models using Auto-ML: Predict values such as revenue, stock, or house prices. Whether you're a SQL Server professional, Data Engineer or Fabric developer, this session will give you a practical introduction to Data Science in Microsoft Fabric and the confidence to start experimenting with Machine Learning in your own projects.