This data exploration uses customer account information to visualize churn rate based on various factors. We use logistic regression as a predictive model to anticipate the customer churn.
-
Notifications
You must be signed in to change notification settings - Fork 2
We utilize customer account data to visualize churn rate based on various factors. Additionally, we predict customer churn using a logistic regression model provided by scikit-learn.
copev313/Predicting-Customer-Churn-With-Logistic-Regression
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
We utilize customer account data to visualize churn rate based on various factors. Additionally, we predict customer churn using a logistic regression model provided by scikit-learn.