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.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/codewithsanaa%2FBankchurnpredict
PURL: pkg:github/codewithsanaa/Bankchurnpredict
Stars: 3
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 24.1 MB
Dependencies parsed at: Pending
Created at: over 2 years ago
Updated at: about 2 months ago
Pushed at: about 2 months ago
Last synced at: about 2 months ago
Topics: css, customer-retention, data-science, flask, html, machine-learning, matplotlib, numpy, pandas, python, random-forest, scikit-learn