- N. Varghese, A. Vitek, Z. Zhao
The training data is large (~10GB uncompressed). It can be downloaded with the following instructions. Alternatively, the iPython notebooks contain saved states with the results.
kaggle competitions download -c petfinder-adoption-prediction- Ensure the training data is extracted in
./all - Download https://github.com/git-lfs/git-lfs/releases/download/v2.7.1/git-lfs-darwin-amd64-v2.7.1.tar.gz
git lfs installgit lfs pull
allcontains a single txt file, which will be populated oncegit lfs pullis performed. Also, it should contain the downloaded training dataattemptscontains the approaches described in the project report. Three are iPython notebooks, one is a regular scriptcheckpointscontains the best models we obtaineddata_explorationcontains iPython notebooks containing the data analytics we performed, the the Decision Tree discovery in the traditional machine learning pre-trials we made for the project