Implement a data science and machine learning solution for AI in Microsoft Fabric

Microsoft via Microsoft Learn

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Overview

Module 1: Get started with data science in Microsoft Fabric by learning how to train a model in a notebook, and track your metrics with MLflow and experiments.In this module, you'll learn how to: Understand the data science process Train models with notebooks in Microsoft Fabric Track model training metrics with MLflow and experiments Module 2: Discover how to perform data exploration for data science using Microsoft Fabric notebooks.In this module, you'll: Load data and perform initial...

Syllabus

Module 1: Module 1: Get started with data science in Microsoft Fabric
- Introduction
- Understand the data science process
- Explore and process data with Microsoft Fabric
- Train and score models with Microsoft Fabric
- Exercise - Explore data science in Microsoft Fabric
- Knowledge check
- Summary

Module 2: Module 2: Explore data for data science with notebooks in Microsoft Fabric
- Introduction
- Explore notebooks
- Load data for exploration
- Understand data distribution
- Check for missing data in notebooks
- Apply advanced data exploration techniques
- Visualize charts in notebooks
- Exercise: Use notebook for data exploration in Microsoft Fabric
- Knowledge check
- Summary

Module 3: Module 3: Preprocess data with Data Wrangler in Microsoft Fabric
- Introduction
- Understand Data Wrangler
- Perform data exploration
- Handle missing data
- Transform data with operators
- Exercise: Preprocess data with Data Wrangler in Microsoft Fabric
- Knowledge check
- Summary

Module 4: Module 4: Train and track machine learning models with MLflow in Microsoft Fabric
- Introduction
- Understand how to train machine learning models
- Train and track models with MLflow and experiments
- Manage models in Microsoft Fabric
- Exercise - Train and track a model in Microsoft Fabric
- Knowledge check
- Summary