In the ever-evolving music industry, the ability to predict the potential popularity of a song before producing it can make impactful changes, leading to commercially successful music production.
In this project, we present a methodology to predict if a song is going to be hit on Spotify.
At present, Spotify is one of the most used music streaming services and a popular song on Spotify is likely to be commercially successful. To determine the features that make a song popular, we analyzed a diverse collection of Spotify tracks across 125 genres. We evaluated various machine learning classification and regression techniques to predict a song’s popularity score that represents its possible level of popularity.
Project Description
For this project we have created our own dataset using Spotify Bangla tracks. We have generated a dataset using SpotifyAPI to. Then we categorized the attribute's value as per comfort to create the model.
How to Install and Run the Project
Download the dataset.csv and CategorizationOfDataset.ipynb and run the google colab.