MusicBoxCapstone

This is a music box churn prediction and recommender system data science project.

The 7 and 9 .ipynb should be run in python 2.7 with GraphLab Installed.

The rest should be run in python 3.6 with the latest version of libraries.

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
10_recommender_Spark_ALS.ipynb		10_recommender_Spark_ALS.ipynb
1_create_folder_and_download_data.ipynb		1_create_folder_and_download_data.ipynb
2_unpack_and_clean_files.sh		2_unpack_and_clean_files.sh
3_etl_down_sample_by_user.ipynb		3_etl_down_sample_by_user.ipynb
4_feature_label_generation_with_spark.ipynb		4_feature_label_generation_with_spark.ipynb
5_train_model_sklearn_stacking_model.ipynb		5_train_model_sklearn_stacking_model.ipynb
6_train_model_sklearn_stacking_model_PySpark.ipynb		6_train_model_sklearn_stacking_model_PySpark.ipynb
7_feature_generation_recommendation_spark.ipynb		7_feature_generation_recommendation_spark.ipynb
9_recommendation_GraphLab_py27.ipynb		9_recommendation_GraphLab_py27.ipynb
Music Box Churn Prediction and Recommender System.pdf		Music Box Churn Prediction and Recommender System.pdf
README.md		README.md

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