music-recommendation-system

This project is a basic model on how a recommendation system works for the Music recommendation. I used decision tree classifier in this model and reached a desirable accuracy according to the Dataset created by me.

Usage

1. Just Copy the files in your directory.
2. Now open the music.ipynb file in jupyter notebook.
3. run all the cells and check the accuracy of predictions.

NOTE: The accuracy can fluctuate between 50% - 100% due to less amount of data being trained you can use more data to imporve its accuracy.

If you enjoy this project, please consider to continue developing and maintaining it.