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Predicted customer revenue on google store using Light GBM gradient boosting algorithm. Also analyzed the features importance by comparing RMSE on different permutations of row values of features.

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.ipynb_checkpoints		.ipynb_checkpoints
.DS_Store		.DS_Store
Assignment3.ipynb		Assignment3.ipynb
Assignment3.pdf		Assignment3.pdf
Assignment3.py		Assignment3.py
README.md		README.md
Snapshot_Rank.png		Snapshot_Rank.png

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Google-Analytics-Customer-Revenue-Prediction

https://www.kaggle.com/c/ga-customer-revenue-prediction

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Predicted customer revenue on google store using Light GBM gradient boosting algorithm. Also analyzed the features importance by comparing RMSE on different permutations of row values of features.

data-science jupyter-notebook python-3-6

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