Don't miss your chance to take the Fabric Data Engineer (DP-600) exam for FREE! Find out how by attending the DP-600 session on April 23rd (pacific time), live or on-demand.
Learn moreNext up in the FabCon + SQLCon recap series: The roadmap for Microsoft SQL and Maximizing Developer experiences in Fabric. All sessions are available on-demand after the live show. Register now
Hello,
It is the first time I am using the service Automated Machine Learning. I am doing some test with the Online Shoppers Intention data set.
Before learning and understanding what the automated ML service does, I think it is also important to have a good knowledge of yours data.
Therefore, does someone could give me more details on the Online Shoppoers Intention Data set. What the meaning of each variable, the possible values a variable could take and if possible how those are evaluated.
Regards,
Solved! Go to Solution.
Hi @Anonymous ,
You can take a look at following links about Azure ML tutorial and corresponding data table model:
Azure Machine Learning integration in Power BI
Tutorial: Invoke a Machine Learning Studio model in Power BI (Preview)
PowerBI-AI-samples/ Tutorial_MLStudio_model_integration/ Automobile price data _Raw_.csv
Regards,
Xiaoxin Sheng
Hi @Anonymous ,
You can take a look at following links about Azure ML tutorial and corresponding data table model:
Azure Machine Learning integration in Power BI
Tutorial: Invoke a Machine Learning Studio model in Power BI (Preview)
PowerBI-AI-samples/ Tutorial_MLStudio_model_integration/ Automobile price data _Raw_.csv
Regards,
Xiaoxin Sheng
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
Experience the highlights from FabCon & SQLCon, available live and on-demand starting April 14th.
| User | Count |
|---|---|
| 48 | |
| 40 | |
| 39 | |
| 20 | |
| 16 |
| User | Count |
|---|---|
| 70 | |
| 67 | |
| 32 | |
| 27 | |
| 25 |