Leveraging Kaggle data, it aims to aid telecom firms in preemptive churn management for improved customer retention and business performance. This project applies various ML models with XGBoost, trained with Train-Test Split, attains 96.58% accuracy as the best accuracy score.
-
Notifications
You must be signed in to change notification settings - Fork 0
Leveraging Kaggle data, it aims to aid telecom firms in preemptive churn management for improved customer retention and business performance. This project applies various ML models with XGBoost, trained with Train-Test Split, attains 96.58% accuracy as the best accuracy score.
MarcellinusRyan20/TelecomChurnPrediction
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
Leveraging Kaggle data, it aims to aid telecom firms in preemptive churn management for improved customer retention and business performance. This project applies various ML models with XGBoost, trained with Train-Test Split, attains 96.58% accuracy as the best accuracy score.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published