As one of the leading music streaming platforms in the world, Spotify is constantly seeking ways to stay ahead of the competition and maximize its profits. A key strategy in achieving this goal is to accurately predict the popularity of new songs, enabling the company to make informed decisions about which songs to produce and promote.
In this project, we will be using historical data on song popularity to identify key features that contribute to a song's success. We will then develop a predictive model that can accurately identify songs likely to become hits, providing valuable insights to music producers and increasing revenue for Spotify.
By combining our expertise in data analysis, machine learning, and music industry trends, we aim to develop a successful model that meets the needs of the music production company and ultimately helps Spotify to achieve its goal of maximizing profits.
