Song Recommender ML

This is a ML project implemented using Python, where it recommends you songs based on three criteria, namely :

Popularity based Recommendation
Collaborative based Recommendation
Content based Recommendation

How to start?

Before you start, make sure you convert the given two .RAR files to .CSV using EzyZip

Add the Song-Recommender.ipynb, song_data.csv, and triplets_file.csv to your Google Drive
Run Song-Recommender.ipynb in your Google Colab Notebook

Suggestions

Since the dataset is gargantuan(about 2 million), it is advisable to limit the data to the first 10K columns for quick results.
If you're patient enough, you can run the code as it is(with 2 million datasets) and wait for 15 minutes for your results.