This project takes a dataset of 10000 customers and their 12 attributes like their age, gender, geography etc. Feature selection and data preprocessing is done on the dataset and fed into a 3 layer sequential neural network. The trained model achieves about 85% accuracy on both train and test sets.
-
Notifications
You must be signed in to change notification settings - Fork 0
This project takes a dataset of 10000 customers and their 12 attributes like their age, gender, geography etc. Feature selection and data preprocessing is done on the dataset and fed into a 3 layer sequential neural network. The trained model achieves about 85% accuracy on both train and test sets.
uday147/customer_churn_prediction
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
This project takes a dataset of 10000 customers and their 12 attributes like their age, gender, geography etc. Feature selection and data preprocessing is done on the dataset and fed into a 3 layer sequential neural network. The trained model achieves about 85% accuracy on both train and test sets.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published