Uncovering the 'DNA' of hit songs: A Python-based analysis of Spotify audio features and popularity metrics.
-
Updated
Jan 2, 2026 - HTML
#
spotify-eda
Here are 4 public repositories matching this topic...
This project analyzes Spotify music data to uncover trends, identify key features influencing track popularity, and predict future hit songs. It combines advanced statistical techniques, machine learning, and exploratory data analysis to deliver actionable insights for artists, producers, and marketers in the music industry.
spotify-eda spotify-data-analysis music-trend-prediction track-popularity-study song-feature-analysis artist-insight-analysis genre-market-analysis music-cluster-analysis hit-song-prediction emerging-artist-detection
-
Updated
Dec 27, 2024 - Jupyter Notebook
EDA of Spotify Song Attributes and fitting Decision Tree Classifier.
-
Updated
May 20, 2020 - Jupyter Notebook
Spotify Exploratory Data Analysis Project
python spotify data-science exploratory-data-analysis eda python3 data-analysis data-analysis-python spotify-eda
-
Updated
Dec 11, 2022 - Jupyter Notebook
Improve this page
Add a description, image, and links to the spotify-eda topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the spotify-eda topic, visit your repo's landing page and select "manage topics."