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https://github.com/iamvaibhavsar/bank_customer_churn_prediction
The Aim of this project is to identify customers likely to churn their savings account balances below the minimum balance using the customer’s data like their demographic information, Customer-Bank Relationship and Transactional Information. The data set for this project is downloaded from Kaggle.
https://github.com/iamvaibhavsar/bank_customer_churn_prediction
jupyter-notebook logistic-regression machine-learning machine-learning-algorithms random-forest
Last synced: about 2 months ago
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The Aim of this project is to identify customers likely to churn their savings account balances below the minimum balance using the customer’s data like their demographic information, Customer-Bank Relationship and Transactional Information. The data set for this project is downloaded from Kaggle.
- Host: GitHub
- URL: https://github.com/iamvaibhavsar/bank_customer_churn_prediction
- Owner: IamVaibhavsar
- License: mit
- Created: 2020-05-27T04:07:39.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2022-11-05T11:42:44.000Z (about 2 years ago)
- Last Synced: 2023-03-07T02:52:45.036Z (almost 2 years ago)
- Topics: jupyter-notebook, logistic-regression, machine-learning, machine-learning-algorithms, random-forest
- Language: Jupyter Notebook
- Homepage:
- Size: 2.55 MB
- Stars: 4
- Watchers: 1
- Forks: 0
- Open Issues: 0