In this session, we will look at data science models and provide clear guidelines on how to select the best model(s) for your purposes. We will use examples in R and Python, and display the output in Power BI. We will also look at visualizing the output of these models in Power BI, and finalizing the models for production success for the business.
This session is aimed at developers and power users who want to understand data science models better so they can become more involved in the data science process in their organization.
You will learn:
- Data science modelling concepts
- Deploy to production
- Azure ML
- Microsoft Automated ML