i was digging into the msfabric spark notebooks recently , stumbled upon some killer AI tools that could really amp up our workflows. thought of sharing my findings here in case anyone's looking to spice things up.
the first one,ai predict, is a game changer for forecasting models ⭐. its super easy and quick - just feed your data into the notebook cell as usual , but under "magic command," you add %msfabric ai_predict model_name=your_model to run predictions. i tested this on some historical sales figures, got a
15% lift in accuracy compared to our current models!
another neat feature is the
auto-ml function for automated machine learning . its great when you need quick results without diving deep into model tuning details ⛏️. i played around with some customer churn data and saw a
10% improvement in prediction accuracy using auto_ml() over our manual pipeline.
im curious, do any of ya'll have experience or other ai functions to share? how are you guys using ms fabric for your projects?
anyone want the full notebook code i used as an example ♂️?
link:
https://dzone.com/articles/microsoft-fabric-ai-functions-practical-overview-data-engineers