-
Notifications
You must be signed in to change notification settings - Fork 0
Predictive modelling techniques to mitigate customer churn within the telecommunications industry. Utilizing a dataset of over 7,000 customers, we evaluate various predictive models including Logistic Regression, Decision Trees, Naïve Bayes, and Neural Networks to identify key factors influencing customer churn
kp27302/Telecom-Churn---ML
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
About
Predictive modelling techniques to mitigate customer churn within the telecommunications industry. Utilizing a dataset of over 7,000 customers, we evaluate various predictive models including Logistic Regression, Decision Trees, Naïve Bayes, and Neural Networks to identify key factors influencing customer churn
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published