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Title: Music Popularity Prediction using Machine Learning #1540

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neyhere07 opened this issue Oct 21, 2024 · 8 comments · Fixed by #1559
Closed

Title: Music Popularity Prediction using Machine Learning #1540

neyhere07 opened this issue Oct 21, 2024 · 8 comments · Fixed by #1559
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Assigned 📋 This issue has been assigned to you! gssoc-ext This level is for GSSOC-Extended. hacktoberfest2024 Your contribution is part of Hacktoberfest 2024! 🎉

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@neyhere07
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Initiative (Required)

GSSoC 2024 Extd 🚀

Is your proposal related to a problem? Please describe.

Music Popularity Prediction involves building machine learning models to estimate the popularity of tracks based on their audio features. Accurately predicting music popularity can assist streaming platforms in better understanding user preferences, optimizing playlists, and enhancing recommendation systems, ultimately boosting user engagement and satisfaction.

Add any other context or screenshots about the proposal request here.

Dataset used : Dataset.csv


I would like to work on this issue. Kindly assign me under GSSoC, GSSoC Ext 2024 and Hacktoberfest 2024. Thank you!
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@neyhere07

It's great having you contribute to this project

Thanks for opening this Issue 🙌 , Welcome to Project Guidance 💖 We will review everything and get back to you.
Make sure to give a star to this repo before making a fork! Thank you :)

@INGEMINI
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I would like to work on this issue. Kindly assign me this task under GSSoC Ext 2024 Thank you!

@SakiraAli1115
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I am the mentor of this project.
@neyhere07 Hello
I appreciate your pull issue, Can you give working video , screenshot after update the output!!!

@SakiraAli1115
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I would like to work on this issue. Kindly assign me this task under GSSoC Ext 2024 Thank you!

I am the mentor of this project.
@INGEMINI Hello Kindly create your own issue , if any problem then tell me !!!

@neyhere07
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neyhere07 commented Oct 23, 2024

I am the mentor of this project. @neyhere07 Hello I appreciate your pull issue, Can you give working video , screenshot after update the output!!!

Below are the images of prediction :

  • Relationship between each music feature and popularity :

popularityVSenergy

popularityVSvalence

popularityVSdanceabilty

popularityVSloudness

popularityVSacousticness

  • Correlation Matrix :

correlation matrix

  • Distribution of all the music features :

Distribution of Energy

Distribution of Valenece

Distribution of Danceability

Distribution of Loudness

Distribution of Acousticness


  • Actual vs Predicted results of the test data:

ActualVSpredictedPopularity

The red line represents perfect predictions, where the predicted popularity exactly matches the actual popularity. Most points are clustered near this line, indicating that the model is making fairly accurate predictions.

@Kushal997-das Kushal997-das added Assigned 📋 This issue has been assigned to you! hacktoberfest2024 Your contribution is part of Hacktoberfest 2024! 🎉 gssoc-ext This level is for GSSOC-Extended. labels Oct 24, 2024
@neyhere07
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@Kushal997-das Hello! I have a question, in which folder (Basic/ Intermediate/ Advanced) should I add?

@SakiraAli1115
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@Kushal997-das Hello! I have a question, in which folder (Basic/ Intermediate/ Advanced) should I add?

Intermediate..

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Hi @neyhere07 👋, your issue #1540 has been successfully closed ✅. Thank you for your valuable contribution! 🙌

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