GitHub - codewithsanaa/Bankchurnpredict: The Bank Churn Classification project predicts customer churn in the banking sector using machine learning algorithms and EDA. It features a user-friendly interface built with HTML and CSS, with model deployment via Flask. This helps banks identify churn patterns and implement strategies to retain customers.

codewithsanaa / Bankchurnpredict Public

Notifications You must be signed in to change notification settings
Fork 0
Star 3

The Bank Churn Classification project predicts customer churn in the banking sector using machine learning algorithms and EDA. It features a user-friendly interface built with HTML and CSS, with model deployment via Flask. This helps banks identify churn patterns and implement strategies to retain customers.

3 stars 0 forks Branches Tags Activity

Star

Notifications

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
.ipynb_checkpoints		.ipynb_checkpoints
templates		templates
Bank_Churn_Prediction.ipynb		Bank_Churn_Prediction.ipynb
Copy_of_TelegramBOT_weather.ipynb		Copy_of_TelegramBOT_weather.ipynb
Copy_of_train_yolov8_object_detection_on_custom_dataset.ipynb		Copy_of_train_yolov8_object_detection_on_custom_dataset.ipynb
Customer_Churn_Prediction.pkl		Customer_Churn_Prediction.pkl
app.py		app.py
churn.csv		churn.csv
requirements.txt		requirements.txt