GitHub / yashksaini-coder / Multivariate-Logistic-Regression---Telecom-Churn
Building a logistic regression model for telecom churn prediction, utilizing 21 customer-related variables to predict whether a customer will switch to another telecom provider or not.
Stars: 19
Forks: 1
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 3.76 MB
Dependencies parsed at: Pending
Created at: about 1 year ago
Updated at: about 1 month ago
Pushed at: about 1 year ago
Last synced at: 16 days ago
Topics: logistic-regression, machine-learning, multivariate-regression, supervised-learning, supervised-machine-learning