Spotify Recommendation System

This project explores data from custom playlists, and then we test different models to determine which one will predict a song with the most accuracy that the user will like based on some input. The different types of models tested are Linear and Multi Linear Regression, Random Forest, and Decision Tree.  See the  Jupyter notebook below.

​

The data used was requested from Spotify.