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.