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:
https://www.kaggle.com/yamaerenay/spo...
And here is a link to my notebook from the video:
https://www.kaggle.com/gcdatkin/spoti...
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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