In this project, we aim to predict the chances of a user listening to a song repetitively after the first observable listening event within a time window was triggered. If there are recurring listening event(s) triggered within a month after the user’s very first observable listening event, its target is marked 1, and 0 otherwise. Our dataset come from a Kaggle competition, where KKBOX provides a training data set consisting of information of the first observable listening event for each unique user-song pair within a specific time duration. Metadata of each unique user and song pair is also provided.

Course Project 2 for Coursera Course Reproducible Research