GitHub - tanercam/Customer-Churn-Prediction-by-Using-Apache-Spark-PySpark-: The purpose of this study is to build a customer churn prediction model by using the data of a bank's custumers. This project is a sample of a big data project by using PySpark. Since it was not possible to analyze a very big data by using a computer, I used 10 000 cases in this study. However, I analyzed the data by using PySpark that is a Python API for Apache Spark. I also used SQL with PySpark to show some descriptive statistics. The data were analyzed by using Gradient-Boosted Trees (GBTs) technique.

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The purpose of this study is to build a customer churn prediction model by using the data of a bank's custumers. This project is a sample of a big data project by using PySpark. Since it was not possible to analyze a very big data by using a computer, I used 10 000 cases in this study. However, I analyzed the data by using PySpark that is a Pyth…