Project to analyze and predict which customers will leave or stay with company. Uses Deep Learning with Artificial Neural Networks to predict customer leave/stay probability. This gives the business valuable insights into where they need to address customers that have a high probability of leaving. This model has been turned and reaches and accuracy rate of ~87% with its predictions of unseen data.
-
Notifications
You must be signed in to change notification settings - Fork 2
Project to analyze and predict which customers will leave or stay with company. Uses Deep Learning with Artificial Neural Networks to predict customer leave/stay probability. This gives the business valuable insights into where they need to address customers that have a high probability of leaving. This model has been turned and reaches and accu…
jroell/CustomerChurnAnalysis
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
Project to analyze and predict which customers will leave or stay with company. Uses Deep Learning with Artificial Neural Networks to predict customer leave/stay probability. This gives the business valuable insights into where they need to address customers that have a high probability of leaving. This model has been turned and reaches and accu…
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published