Content

This is a dataset of Spotify tracks over a range of 125 different genres. Each track has some audio features associated with it. The data is in CSV format which is tabular and can be loaded quickly.

  Usage

The dataset can be used for:

Building a Recommendation System based on some user input or preference Classification purposes based on audio features and available genres Any other application that you can think of. Feel free to discuss!

  Column… See the full description on the dataset page: https://huggingface.co/datasets/maharshipandya/spotify-tracks-dataset.

This dataset comprises information about Spotify tracks spanning 125 different genres, along with their associated audio features and metadata. It is formatted as a CSV file for easy loading and analysis. The dataset can be utilized for various applications, including building recommendation systems based on user preferences, classifying tracks based on their audio features and genres, and other innovative purposes.

This dataset can be used for:

1. Recommendation Systems: Develop personalized music recommendations based on user preferences.
2. Genre and Mood Classification: Classify tracks by genre or mood using audio features.
3. Trend Analysis: Analyze music popularity trends and predict future hits.
4. Musicological Research: Study the relationship between audio features and genres or track characteristics.
5. Sentiment Analysis: Create playlists that match specific emotional states using valence scores.