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Intro to AutoML in Power BI Premium 

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With the launch of the Power BI Premium Per User (PPU) license, more users now have access to the Power BI AutoML feature. AutoML allows business analysts to build machine learning models using the enterprise data, solve business challenges and get insights that traditional BI techniques do not. In this session, we will take a technical deep dive into AutoML and not just build models but also look at how to evaluate, interpret and manage these models. If you are new to machine learning, we will cover the practical aspects of machine learning and best practices of deploying the models.
Sandeep Pawar is a data science professional with expertise in advanced data analytics and machine learning. He works at Cree Lighting (WI) as a Data Analytics Engineer and is a certified Azure Data Scientist. He has a fantastic blog which we recommend you check-out for more of his work: Sandeep Pawar | Power BI, ML, Python, R, Azure ML (pawarbi.github.io)

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1 авг 2024

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Комментарии : 3   
@johng5295
@johng5295 2 года назад
Thanks in a million. Great content. Grade: A++💥
@johnnygex
@johnnygex 2 года назад
Thank you for the wonderful presentation, it is the most complete one on the AutoML topic in Power BI. I found only one thing not so correct, that is the explanation of the Cost and Benefit Analysis and final result: the % of threshold has been confused with the % of conversion of the marketing campaign. The correct message of the model result is that the maximum profit will be € 114,195.03 if you target only 24.13% of customers for the marketing campaign. How do we select those customers? They are the ones that the model set with the threshold of 0.58 predicts that they will buy.
@MasterPowerBI
@MasterPowerBI Год назад
Can i download your data please?
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