The python notebook is on googles new collabatory tool. Its a churn model being run on 3 different algorithms to compare. The telecom churn data can be found on- https://www.ibm.com/communities/analytics/watson-analytics-blog/predictive-insights-in-the-telco-customer-churn-data-set/ The interface is different than normal python notebooks but it is understandable. Name: Churn_Model.ipynb
Note: the collabtory version can only be viewed if you have a nbviewer version hence i am also putting up a python notebook so that the code can be read completely. Name: Xgboost Vs Litegbm Vs Catboost.ipynb