Machine Learning Anomaly Detection with Python and Power BI

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Use the Isolation Forest algorithm to create unsupervised machine learning to identify outliers in your data. Leverage the power of Sckit Learn and Power BI

Anomaly detection can be determined in a number of ways such as percentiles, quartile and standard deviation. These are all statistical devices that allow the user to set the threshold range for the expected data.

#outliers
#anomaly detection
#powerbi
#DAX

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You can find the PBIX file and data files on the GitHub file. Please subscribe and like the video:

absentdata

Your videos are amazing, i am learning a lot of things that I use at work with direct impact, Please keep doing videos we appreciate your time and effort.

agustinsantellanfernandez

Your videos are brilliant, the perfect amount of detail 👌🏻 thank you!

padraichayes

Nice video! I'm not an expert, so take my input with a grain of salt, but if I'd change anything it'd be to add the index-column before duplicating the query. Just as a best practice.

magnuswestrom

I am confused by something: why does one graphs have indexes on the x axis and the other one dates? Wouldn't it make more sense to have dates both times? Also it seems to me that what this algorithm does in this case is say that any point above the 95th percentile and below the 5th percentile are anomalies. Does it work well if the data has trends and seasonalities?

vikviking

Hi thank you for your great instruction. Could you mind make a understandable video to instruct about the temperature time series with RNN (recurrent neuron network). Thank you in advanced!

thailinhpham

This is great, thanks for sharing!

Just one question, in the Power BI documentation says that to run Python on any dataset it has to be set as public which is sensitive if the data you’re using is private, any advice to overcome this challenge please?

Appreciate any guidance and keep up the great work!

jimmyrico

Great explanation how to combine python machine learning with power bi!

henkhbit

on 9:30, "the script run with the followinb python instalation ~\Anaconda3\envs\py35.", whats mean? o have to set uo env variables?

leonardorazoislas

can you share dashboard template with me

onurerdogan

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