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One of the coolest things to work with data analysis in Power BI, are the various features that the tool offers us as for example, predictive analysis.
Using machine Learning integrated with Powerbi it is possible to perform prediction calculations in a totally low-code way, and this is what we will talk about in this class.
We will use the Titanic database to predict the likelihood of a passenger’s survival based on some criteria such as gender, cabin, and others.
If you’ve never heard of this possibility, don’t worry I’ll teach you step-by-step what you have to do, both on the Power BI desktop and on the Azure platform. You will learn how to:
How to create a predicted template in Azure
How to manipulate data from a predictive model in Azure
How to train a predictive model in Azure
How to measure the accuracy of a predictive model in Azure
How to integrate an Azure predictive model with Power BI
Super cool content, right?! Now just use your creativity and put into practice using other databases, and when you create your own share template and don’t forget to mark me in the post, right?!
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Content of this video:
05:17 – Criando Modelo com Studio Azure
12:32 – Select columns in Azure Studio
14:58 – Edit Metadata
17:47 – Clean Missing Data
21:37 – Split data
22:23 – Training model
29:14 – Building Predictive Experiment
36:16 – Deploy web service
37:03 – Import model in Power BI
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