How to understand user churn with machine learning? [Python]

Published: 15 February 2021
on channel: Angeline Liu

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This video covers how to find out the key driver for user churn with classification model such as Xgboost and SHAP package. You would want to have around 100 features (metrics) and use feature importance model to generate which feature (metric) has the most impact on churn.

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