A Music Recommendation System is an application of Data Science that seeks to assist users in discovering new and relevant musical content based on their preferences and listening behaviour. Personalized music recommendations have become an essential tool in the digital music landscape, enabling music streaming platforms like Spotify and Apple Music to offer personalized and engaging experiences to their users. If you want to learn how to construct a music recommendation system, this article is for you. In this article, I’ll lead you through building a Music Recommendation System using Spotify API and Python.