Fabric Data Science

Community

Orchestrate reproducible ML on Microsoft Fabric.

Authormarkus41
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Microsoft Fabric Data Science provides an integrated environment to build, train, track experiments with MLflow, register and version models, and deploy predictions, enabling teams to run end-to-end ML pipelines inside Fabric and connect to Power BI semantic models.

Core Features & Use Cases

  • Notebooks: Spark-based ML development with pre-installed libraries (scikit-learn, LightGBM, XGBoost, PyTorch, SynapseML)
  • Experiments & Registry: MLflow-based experiment tracking and a model registry with versioning and stages
  • BI & PREDICT: Seamless integration with Power BI via Semantic Link and PREDICT for batch scoring in the warehouse
  • Governance & Automation: End-to-end reproducibility, lineage, and governance for production ML pipelines

Quick Start

Launch a Fabric notebook and begin an end-to-end ML workflow.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: Fabric Data Science
Download link: https://github.com/markus41/Claude-m/archive/main.zip#fabric-data-science

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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