Skip to content

MIS 545 Data Mining Project - Predicting Music Genres based on musical attributes using R and predictive algorithms.

Notifications You must be signed in to change notification settings

kfure/Data-Mining-Project---Music-Genres

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

21 Commits
 
 
 
 
 
 

Repository files navigation

Data-Mining-Project---Music-Genres

MIS 545 Data Mining Project - Predicting Music Genres based on musical attributes

Files under the /source/ directory contain the R source code.

See Data-Mining-Project---Music-Genres.PDF to view the project and explanations for the data mining algorithms and analysis conducted in R.

Predict a song's genre based upon a set of musical attributes and features. I used the FMS (Free Music Archive) Database, which includes 106,574 tracks. I used linear regression, random forest, K-means clustering, predictive analysis with Decision Trees, and Naive Bayes.

About

MIS 545 Data Mining Project - Predicting Music Genres based on musical attributes using R and predictive algorithms.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Languages