SylCard / Spotify-Emotions-ProjectLinks
Trying to predict my mood using my spotify music data
☆28Updated 5 years ago
Alternatives and similar repositories for Spotify-Emotions-Project
Users that are interested in Spotify-Emotions-Project are comparing it to the libraries listed below
Sorting:
- Data analysis on my monthly playlists☆25Updated 8 years ago
- Exploring Audio Features and building a Machine Learning Approach☆55Updated 5 years ago
- Using Spotify API to obtain audio feature data and lyrics and Tableau to produce sick visualizations.☆28Updated 5 years ago
- Create your own Spotify public playlist containing recommended tracks for each track in a source playlist using Spotipy library☆28Updated 3 years ago
- Using Spotify’s audio features API, data, and machine learning, I investigated how boring my saved songs are.☆65Updated 8 years ago
- Fetching & Statistical Analysis of Spotify Data☆36Updated 4 years ago
- A script to create custom Spotify playlists using the Spotify API, based on seed tracks.☆72Updated 3 years ago
- Spotify API to BigQuery serverless pipeline☆109Updated 4 years ago
- ☆10Updated 3 years ago
- WiMLDS Berlin Data Science Lab☆18Updated 10 months ago
- An app where anyone can join with Spotify credentials and see a lot of cool statistics about his/her profile.☆29Updated 4 years ago
- Predicting Billboard's Year-End Hot 100 Songs using audio features from Spotify and lyrics from Musixmatch☆18Updated last year
- In this project I clustered my Spotify music using its audio features with the goal of finding similar music in each of the clusters☆35Updated 8 years ago
- Music Data Analysis☆106Updated 5 years ago
- An exploratory data analysis and data visualization project using data from Spotify Web API☆87Updated 7 years ago
- A cool way to create your own Playlists on Spotify Clustering tracks with K-means Algorithm☆76Updated 2 years ago
- Generates mood based playlists using Spotify listening history☆18Updated 3 years ago
- The goal of this project is to recommend songs for a given playlist from Spotify. This project starts from data collection all the way to…☆98Updated 3 years ago
- Exploring Spotify's latest trends, top songs, genres, and artists using Python, Pandas, NumPy, Matplotlib, CNNs for image-based analysis,…☆10Updated 2 years ago
- Extract your Spotify streaming history and use the Spotify API to obtain song features.☆91Updated 2 years ago
- Built in Python, this project contains two classifier models that predict a song’s genre. Each model was exposed to various data points g…☆10Updated 5 years ago
- A starter pack for using the Spotify Web API in Python☆84Updated 3 years ago
- Using Python to perform data visualization and machine learning on the annual Spotify wrapped top songs playlists☆37Updated 3 years ago
- K-Means Clustering and PCA to categorize music by similar audio features☆69Updated 4 years ago
- An extended analysis of the evolution of American popular music from 1960 to 2017 using data from the Billboard Year-End Hot 100 charts, …☆59Updated 7 years ago
- Data Science Portfolio☆74Updated 5 years ago
- Train a classifier to predict the genre of a song based on its lyrics☆19Updated 7 years ago
- This is a very in depth explination of naive bayes w.r.t implementation in python which can be used in Machine Learning applications.☆28Updated 4 years ago
- Unofficial python wrapper for genius' API.☆12Updated 2 years ago
- Analyses on over 18,000 pitchfork reviews.☆50Updated 5 years ago