million-song-dataset
There are 3 repositories under million-song-dataset topic.
- Language:Python 21
amninder-dhillon / PredictingSongPopularity
Using machine learning to predict if a given song will be popular or not
Language:Jupyter Notebook 12chenyz0601 / mmd-project
Mining Million Song Dataset
Language:Jupyter Notebook 6- Language:Scala 5
tejas-gokhale / music_reco_deep_learning
Project for CMU 15-780 Graduate Artificial Intelligence
Language:Python 5jcosentino11 / hot-song-classification
Predict whether a song is 'hot' or not, through analysis of the Million Song Dataset.
Language:Python 4ndporter / pythonDiSC
Notebooks and data to accompany Python instruction for Data in Social Context Fall 2018
Language:Jupyter Notebook 4Euno257 / Recommendation-System
Recommendation system on Million Song Dataset
Language:Jupyter Notebook 3ivan-ristovic / MSD-mining
Data Mining course project - Million Songs Dataset exploration
Language:Jupyter Notebook 3NighTurs / discovery-rs
Discovery Recommender System
Language:Python 3pyxelr / 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.
Language:Jupyter Notebook 3albincorreya / cover_song_detection
Tools to run text-based experiments for large scale cover detection.
Language:Python 2- Language:HTML 2
d-elicio / Music-Recommender-System-from-scratch
Design and implementation from scratch of different models for a musical recommendation system
Language:Jupyter Notebook 2- Language:Python 2
- Genre-Song-Duration-ANOVA-Test
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.
Language:R 2 raghav1810 / Music-analysis-and-Year-prediction
Trend analysis of pop music and prediction of release year.
Language:Jupyter Notebook 2belovehq / msd-languages
Language clustering of the musicXmatch dictionary in the Million Song Dataset
Language:Jupyter Notebook 1A command line tool to load the lyrics subset of the Million Song Dataset into an H2 SQL database
Language:Clojure 1jacobantony / mortify
Example code for processing the Million Song Dataset and other big music datasets
Language:Python 1katkordas / stidh20
Classying music genre based on audio features and lyrics (using the Million Song Dataset).
Language:Python 1Maggie0927 / MillionSongRecommendation
Machine Learning Final Project
Language:TeX 1nmirabets / song-recommender
An online song recommender based on a K-means model using the Spotify API and the MillionSongSubset
Language:Jupyter Notebook 1diggy-19 / Million-Songs-Dataset-Recommender
Using recommendation systems on the million-songs-dataset
Language:Jupyter Notebook 0ejmmedina / artist-genre-fim-rs
Who would you listen to?: A Frequent Itemset Mining and Recommender System approach on the Million Song Dataset
Language:Jupyter Notebook 0jayantakumar / 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.
Language:Jupyter Notebook 0rigganni / Cassandra-Music-History-Analysis
Analyze music history using Apache Cassandra.
Language:Jupyter Notebook 0Sahanave / 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.
Language:Python 0santoshd97 / Machine-learning-in-Spark
Predicting Year in Million Song Dataset with Linear Regression using Pyspark
Language:Jupyter Notebook 0ashsProjects / 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
Language:Pythonmerrafelice / PreProcessing-MillionDatasetsPlaylist
This repository implements pre-processing operations of the MELON PLAYLIST DATASET released by Ferraro et al.
Language:Python
