Introduction to Data Science in Microsoft Fabric
Get acquainted with the data science process within Microsoft Fabric, including managing data, notebooks, experiments, and models.
Explore Data for Data Science with Notebooks
Utilize Microsoft Fabric notebooks for in-depth data exploration, covering loading data, understanding data distribution, handling missing data, and applying advanced exploration techniques.
Preprocess Data with Data Wrangler in Microsoft Fabric
Learn how to preprocess data effectively using Data Wrangler in Microsoft Fabric, including data cleaning, handling missing values, and feature transformation.
Train and Track Machine Learning Models with MLflow
Discover how to train machine learning models in notebooks, track experiments with MLflow, and manage models efficiently within Microsoft Fabric.
Generate Batch Predictions using Deployed Models
Learn to utilize machine learning models deployed in Microsoft Fabric to generate batch predictions, enhancing data enrichment and analysis capabilities.