About this document
Predicting Song Popularity in 2024 by Samuel Abiola-Henry is a document available to read on EtoBox.
The document outlines a project aimed at predicting the future popularity of songs using streaming and engagement metrics collected in 2024, framed as a regression task. It details the input data features, including track information and various popularity metrics from platforms like Spotify, YouTube, and TikTok, as well as the data preprocessing steps required. The dataset used for this analysis is sourced from Kaggle and includes comprehensive streaming metrics, with a focus on selecting relevant features
- Author
- Samuel Abiola-Henry
- Language
- EN