v6 in the MLFlow tracking versions folder contains the code for the model with the best log loss and the one which was used for the submissions on Kaggle

A new databricks account(community edition) must be created and one must manually enter the workspace link for the same along with your user credentials manually when running the notebook in order to log your experiments with MlFlow to the server managed by DataBricks