Building online churn prediction ML model using XGBoost, Spark, Featuretools, Python and GCP

preview_player
Показать описание
This video shows step by step how to build, evaluate and deploy churn prediction model using Python, Spark, automated feature engineering (Featuretools), extreme gradient boosting algorithm (XGBoost) and Google ML service.
Рекомендации по теме
Комментарии
Автор

Hello, first of all, this is an excellent material, can you share with us? You`ll help me a lot! Thank you!!

gtosXD
Автор

Could you share github file with code?

ramakrishnagadde