How to Remove Outliers From Data (Spotify Song Popularity Prediction) - Data Every Day #127

Hi guys, welcome back to Data Every Day!
On today's episode, we are looking at a dataset of Spotify songs from 1921-2020 and trying to predict the popularity of a given song. We will be using a linear regression model to make our predictions, but first we will focus on removing outliers from the data.

Note: I am not affiliated with Spotify in any way.

Here is a link to the Kaggle dataset:

And here is a link to my notebook from the video:

Thanks so much for watching! If you enjoyed today's episode, be sure to subscribe and hit the bell for more content!

See you all tomorrow! :)

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[letaendashew]

Please can you do how to extract original data(attributes ) from spotify for popularity prediction?
Thanks for the tutorial!

[adarshjamwal]

Nice vedio but I have a question can we handle outliers in categorical data if yes so how we handle any solution you have ?

[jamespaladin]

How do you think z scores compare in enhancing performance versus compressive scalers like log based? Surely scaler approach is a lot less work.
Your tutorial was instructive but perhaps to much so I now have a severe headache :)

[guptaaman]

Hi,

How can we remove multivariate outliers? please help on this.