Importing data science models into Power BI enables better predictive analytics and smarter business decisions. There are many ways to approach the integration, but one popular method is providing Python or R scripts directly in Power BI to import pre-trained models and apply the models to datasets at either the data transformation or visualization phase. This gives users the ability to bring predictive outputs, such as predictions, clusters, or sentiment scores, into reports.
Another more advanced option would be to use models hosted on Azure Machine Learning as a REST service through Azure or any cloud service. You can pass data from Power BI via Power Query or Power Automate, receive the scored results, and show the results in visuals from Power BI. This method allows you to score in real-time and still govern the model outside of Power BI.
Taking a complete Power BI Course in Pune will assist learners in how best to eliminate the gap between data science and BI tools through hands-on methods.
Moreover, Power BI Training in Pune will usually include real-world examples of integration with Python and Azure services showing attendees how professionals can utilize statistical models for advanced analytics.
Lastly, Power BI Classes in Pune will help you understand how to embed model-based intelligence into dashboards with actionable outputs that will give decision-makers a sense of forward-looking intelligence.
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