million-song-dataset
There are 31 repositories under million-song-dataset topic.
jskrable/music-rec
Music Recommendation Service
amninder-dhillon/PredictingSongPopularity
Using machine learning to predict if a given song will be popular or not
chenyz0601/mmd-project
Mining Million Song Dataset
tejas-gokhale/music_reco_deep_learning
Project for CMU 15-780 Graduate Artificial Intelligence
d-elicio/Music-Recommender-System-from-scratch
Design and implementation from scratch of different models for a musical recommendation system
spino327/msd
Processing the Million Song Dataset with Apache Spark
jcosentino11/hot-song-classification
Predict whether a song is 'hot' or not, through analysis of the Million Song Dataset.
ndporter/pythonDiSC
Notebooks and data to accompany Python instruction for Data in Social Context Fall 2018
Euno257/Recommendation-System
Recommendation system on Million Song Dataset
ivan-ristovic/MSD-mining
Data Mining course project - Million Songs Dataset exploration
NighTurs/discovery-rs
Discovery Recommender System
pyxelr/m24com-classification-of-audio-features
Classification of audio features using different ML algorithms on the MSD. The project was done for Machine Learning module at Coventry University.
albincorreya/cover_song_detection
Tools to run text-based experiments for large scale cover detection.
nmirabets/song-recommender
An online song recommender based on a K-means model using the Spotify API and the MillionSongSubset
pkhiyara/Genre-Song-Duration-ANOVA-Test
An R project that investigates whether different genres of songs have significantly different durations through the use of a one-way ANOVA test and post hoc significance tests conducted over an excerpt of a dataset consisting of 1 million popular songs compiled by The Echo Nest and a lab at Columbia University.
raghav1810/Music-analysis-and-Year-prediction
Trend analysis of pop music and prediction of release year.
belovehq/msd-languages
Language clustering of the musicXmatch dictionary in the Million Song Dataset
belovehq/msd-lyrics-to-h2
A command line tool to load the lyrics subset of the Million Song Dataset into an H2 SQL database
jacobantony/mortify
Example code for processing the Million Song Dataset and other big music datasets
jayantakumar/MusicRecommendationSystem
For this project, we plan to build a basic music recommendation system using the MLlib libraries that are part of the Spark installation. Our dataset will be the Million Song Dataset, which is a collection of audio features and metadata for one million contemporary popular music tracks.
katkordas/stidh20
Classying music genre based on audio features and lyrics (using the Million Song Dataset).
Maggie0927/MillionSongRecommendation
Machine Learning Final Project
Sahanave/Millionsongdataset_UCI
This repository is inspired from Million Song Dataset Challenge from Kaggle. We aim to predict the year of song release by using timbre features' average and covariance.
diggy-19/Million-Songs-Dataset-Recommender
Using recommendation systems on the million-songs-dataset
ejmmedina/artist-genre-fim-rs
Who would you listen to?: A Frequent Itemset Mining and Recommender System approach on the Million Song Dataset
rigganni/Cassandra-Music-History-Analysis
Analyze music history using Apache Cassandra.
santoshd97/Machine-learning-in-Spark
Predicting Year in Million Song Dataset with Linear Regression using Pyspark
ashsProjects/MillionSongs_to_Text
Parses the million song dataset/subset from h5 files to two txt files that can easily be used in Pandas, NumPy, or MapReduce
merrafelice/PreProcessing-MillionDatasetsPlaylist
This repository implements pre-processing operations of the MELON PLAYLIST DATASET released by Ferraro et al.