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.
- Just Copy the files in your directory.
- Now open the music.ipynb file in jupyter notebook.
- 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.