Music Recommendations: Case Study

Music Recommendations refer to the process of suggesting songs, artists, or playlists to users based on their past listening behaviour, preferences, and musical characteristics. These recommendations aim to enhance the music discovery experience for users by providing them with personalized and relevant music options that align with their tastes.

The problem at hand is to develop an efficient and dynamic music recommendation system by utilizing real-time music data sourced from the renowned music streaming platform, Spotify. The system’s objective is to analyze user interactions, listening histories, and other relevant data in real-time to generate personalized music recommendations for each individual user.

Your task is to create a cutting-edge music recommendation system that harnesses real-time music data from Spotify to provide users with tailor-made music suggestions.

References to Solve this Data Science Case Study