In a music streaming service such as Spotify and Deezer, music recommendation plays a big role in user engagement. The main idea is to predict whether a user will skip individual tracks based on what that same user has listened previously in his session, using data science approaches such as Neural Networks. By having an accurate prediction of that type the system can decide if that song should be recommended in that user session or not.