Welcome to DataJam! The Data science event for Convoke 2.0 (October 2017)
The goal is to develop a model to predict the genre of a track using its audio features. There are 16582 tracks present in the training set and 4146 tracks in the test set. The data set has 13 audio related features along with the song title and the target variable genre.
The purpose of this submission is to prevent plagarism.
- You need to make a pull request to submit the solution notebooks/scripts.
- The name of the commit and the folder should be of the following format:
<teamname> - You must submit the solutions by 1815 hours IST sharp.