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spotify-audio-features

Data analytics project

spotify-audio-features-analysis

Search for the attributes of a particular song using Python and the Spotify API

spotify-audio-features-data-experiment

Using Spotify’s audio features API, data, and machine learning, I investigated how boring my saved songs are.

spotify-datamining-project

A simple data mining project that was assigned during a CS-course. The goal was to predict the popularity of a song by its audio features provided by another research paper. The popularity was provided by using the Spotify REST API.

spotify-eeg-based-recommendations

spotify-etl

An ETL process to pull my Spotify music history from the past 24 hours and append to a SQL database.

spotify-genres-classifying-genre-by-audio-features-and-lyrics

UMBC DATA 601 Final Project: Pulling data from both spotify and genius, then building a genre classifier

spotify-graphql

A GraphQL wrapper on top of the public Spotify API.

spotify-graphql-1

GraphQL schema for Spotify WebAPI — TypeScript / Node.js (v6)

spotify-headless

Experimental wrapper around Spotify Web API

spotify-ml-music-recommendations

Music recommendations based on your favorite artists and songs powered by machine learning

spotify-mood-prediction-and-music-recommendation-sysyem

spotify-music-analysis-using-machine-learning

Web Scraped data from spotify.com website to perform predictive analysis using Python. Wrangled and pre-processed data and developed strategies to categorize the audio features of the song. Trained supervised classification methods to predict the likeness of the song. Trained Logistic Regression model on a scaled version of data to determine which audio feature has the biggest impact on the likeliness of the song.

spotify-music-data

Music data exploration and insights with machine learning in the form of recommender systems.

spotify-music-preference-classification-model

Utilized the Spotify API to get audio features of 200 songs and trained 5 classification models with hyperparameter tuning

spotify-music-recommendation

spotify-music-recommendation-1

spotify-music-recommendation-2

spotify-music-recommendation-app

Using Artificial Intelligence/Machine Learning to suggest music to users based on their current music taste and preferences.

spotify-music-recommendation-engine

spotify-music-recommendation-system

A content based recommendation system

spotify-music-recommendation-system-1

Music recommendation system for playlist expansion using spotify datasets and api

spotify-music-recommendation-system-spark

spotify-music-recommender

spotify-music-recommender-1

A Spotify Music Recommendation Engine built using Spotify API and NearestNeighbors algorithm. The dataset is parsed using the Spotify web API.

spotify-music-recommender-2

spotify-musicrecommend

spotify-neural-network

Multilayer perceptron on Spotify audio features to classify gender/popularity

spotify-next-gen-music

Data Set: We have used Spotify data set for the analysis. Data set containing audio data from 1991- 2018 and 3 listener data set. NextGen Music system will predict how popular a new song will be. We are trying to investigate how old songs can be used to predict the popularity of the new songs based on the features of the song and their past popularity on old songs from 1991-2018. We will focus on few points like certain characteristics for hit songs and does the new song fall under this hit criteria.It can help a music company to decide the features/genre of the new music album so that it has high chances of success.

spotify-notebooks

visualizing Spotify audio features, and predicting genres