GitHub - SayamAlt/Bank-Customer-Churn-Prediction-using-PySpark: Successfully established a machine learning model using PySpark which can accurately classify whether a bank customer will churn or not up to an accuracy of more than 86% on the test set.

SayamAlt / Bank-Customer-Churn-Prediction-using-PySpark Public

Notifications You must be signed in to change notification settings
Fork 0
Star 0

Successfully established a machine learning model using PySpark which can accurately classify whether a bank customer will churn or not up to an accuracy of more than 86% on the test set.

0 stars 0 forks Branches Tags Activity

Star

Notifications

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
bank_customer_churn_classifier		bank_customer_churn_classifier
Bank Customer Churn Prediction.ipynb		Bank Customer Churn Prediction.ipynb
test.csv		test.csv
train.csv		train.csv

About

Successfully established a machine learning model using PySpark which can accurately classify whether a bank customer will churn or not up to an accuracy of more than 86% on the test set.