Weekly Challenges

bjkay30 · ‎04-28-2023

izamryan · ‎05-03-2023

fun data set, with a lot of potential for analysis, I went ahead and cracked the presented problem but I also thought of ...

Spoiler

Could we build a predictive model to predict how popular a song is based on it's acoustic properties?
I split my data set in to a training set of pre 1999 tracks and post 1999 tracks. Why 1999? Because it marked the end of the dot-com boom.

Just messing experimenting with the predictive tools!

Could we build a predictive model to predict how popular a song is based on it's acoustic properties?I split my data set in to a training set of pre 1999 tracks and post 1999 tracks. Why 1999? Because it marked the end of the dot-com boom.Just messing experimenting with the predictive tools!

vidyasurendra · ‎05-16-2023

My solution

ArnaldoSandoval · ‎05-16-2023

Spoiler

Added a container processing what appear to be Asian artists.

KateG · ‎05-17-2023

KG solution

Christina_H · ‎05-17-2023

My solution

Spoiler

Robinvm · ‎05-19-2023

Spoiler

AnastasiaCht · ‎05-21-2023

Fun challenge! Even though my final results slightly differ 🙂

charan17 · ‎06-01-2023

Submission of 338 start 2

Computernerd · ‎06-02-2023

Apparently my way is a lot more complicated, but it works! 😃

Weekly Challenges

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Challenge #338: Let's Summarize!