Implement a data science and machine learning solution for AI in Microsoft Fabric
Explore the data science process and learn how to train machine learning models to accomplish artificial intelligence in Microsoft Fabric.
Prerequisites
You should be familiar with basic data concepts and terminology.
Achievement Code
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Modules in this learning path
In Microsoft Fabric, data scientists can manage data, notebooks, experiments, and models while easily accessing data from across the organization and collaborating with their fellow data professionals.
Microsoft Fabric notebooks serve as a comprehensive tool for data exploration, enabling users to uncover hidden patterns and relationships in their datasets.
Data Wrangler serves as a comprehensive tool for preprocessing data. It enables users to clean data, handle missing values, and transform features to build machine learning models.
In Microsoft Fabric, data scientists can train models in notebooks, track their work in experiments, and manage their models with MLflow.
Save and use your machine learning models in Microsoft Fabric to generate batch predictions and enrich your data.