Python Machine Learning in Power BI: K-Means algorithm

In this video I’m showing how you can run Python Machine Learning in Power BI. I’m specifically showing how to run the K-Means which is a clustering unsupervised Machine Learning algorithm.
You can access the tutorial support documentation
docs.google.co...

[@nuwanherath4402]

Superb simple Explanation ... Very good easy to understand the content... Keep up the good work!!!!

[@vromilb]

That is very good! This helps me a lot

[@adityakalra6340]

Hi! Analyze It,
Glad you know your development and Analysis on KMeans Clustering,
And I hope you might have share the Elbow method as to make the basket of clusters.
Cheers!

[@AnalyzeIt_Nael]

I will

[@spyrex3988]

this shit is amazing thanks

[@AnalyzeIt_Nael]

Cool right! KMeans is one of many other clustering methods that exist . other are Mean-shift, HAC, DBSCAN. Each has pro and con. For Kmeans, you have to try K values (K not too big) and you can determine the optimum number of K graphically using the Elbow method. Kmeans tends to find even sized clusters. and final Kmeans is bad with non-spherical cluster shapes.

[@jomponpunkun6580]

This does not work for me

[@AnalyzeIt_Nael]

what error message do you get?

[@jomponpunkun6580]

@@AnalyzeIt_Nael it’s okay, I sorted it out already. It was just my computer didn’t know what pandas was and i had to go into terminal to install it.

[@AnalyzeIt_Nael]

@@jomponpunkun6580 . Happy to hear that.

[@SnehaPadaki]

what is the maximum size of data this can work on?