https://github.com/muhammadibrahim313/bank_churn_prediction-catboost-89.4-

In this notebook, we embarked on an insightful exploration of the Bank Churn dataset, delving into the prediction of customer departure from the bank. Our journey spanned from meticulous data exploration and analysis to the application of diverse machine learning techniques, culminating in an impressive accuracy of 89% . 🚀💬📈
https://github.com/muhammadibrahim313/bank_churn_prediction-catboost-89.4-

Last synced: 3 months ago
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In this notebook, we embarked on an insightful exploration of the Bank Churn dataset, delving into the prediction of customer departure from the bank. Our journey spanned from meticulous data exploration and analysis to the application of diverse machine learning techniques, culminating in an impressive accuracy of 89% . 🚀💬📈

• Host: GitHub
• URL: https://github.com/muhammadibrahim313/bank_churn_prediction-catboost-89.4-
• Owner: muhammadibrahim313
• Created: 2024-01-25T20:25:02.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-01-25T20:28:43.000Z (over 1 year ago)
• Last Synced: 2024-12-29T11:31:04.505Z (5 months ago)
• Language: Jupyter Notebook
• Size: 345 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# Bank_Churn_Prediction-Catboost-89.4-

In this notebook, we embarked on an insightful exploration of the Bank Churn dataset, delving into the prediction of customer departure from the bank. Our journey spanned from meticulous data exploration and analysis to the application of diverse machine learning techniques, culminating in an impressive accuracy of 89% . 🚀💬📈