Collect information on songs, analyze and build a recommender system with the help of Spotify API.
-
Updated
Mar 22, 2021 - Jupyter Notebook
Collect information on songs, analyze and build a recommender system with the help of Spotify API.
#7DaysOfCode challenge about machine learning, proposed by Letícia Pires w/ Alura.
A spotify data viewing web app written with Flask
Explore your Spotify listening history exported with Download your data.
Inspirado no Banco de Dados do Spotify (SpotifyClone) para revisar e e consolidar conceitos de normalização e execução de queries
Self-documenting Spotify web API.
A in depth data analysis and visualization on Spotify streaming history.
Classification & Time Series Analysis of Spotify Data using Grid Searched Random Forest & LSTM.
Django project based on Spotify API.
Inspirado no Banco de Dados do Spotify (SpotifyClone) para revisar e e consolidar conceitos de normalização e execução de queries
The analysis of my Spotify streaming data.
Splits spotify data into files containing chunks
1st Position Winners of the DataCamp "Create the Perfect Party Playlist" Competition 2023 (Umar & Faizan)
An interactive quiz, written in Processing. The app guesses your personality based off of your music preferences. External Data used from Spotify.
A simple script that batch scrobbles Spotify Data. Can also scrobble one song.
Request your streaming history over the past year from Spotify and then use this app to analyze the JSON file and reveal information about your listening behavior
This repository contains python script that allows you to scrape your own Spotify data. See README.md for how to gain access to Spotify's API.
In this repository we will conduct a data collecting trough spotify API, and do some analysis and exploring the data with machine learning approach
Add a description, image, and links to the spotify-data topic page so that developers can more easily learn about it.
To associate your repository with the spotify-data topic, visit your repo's landing page and select "manage topics."