Spotify music taste prediction
The role of music in human culture and society is significant. With the advent of digital music platforms like Spotify, Apple Music, YouTube Music, etc., it has become effortless for individuals to discover new music. However, it can be challenging for users to find songs they will enjoy among the vast selection available. Through the use of machine learning methods and models, it is possible to anticipate a user’s musical preferences based on their past listening history and recommend songs they are likely to enjoy.
Problem Statement: The primary objective of this project is to create and implement an algorithm or model that utilizes the Spotify dataset to anticipate whether a user will enjoy a particular song or not.