Skip to content

My team analyzed rideshare data to predict what customers will churn. Best model, Gradient Boosting Classifier, performed at .79 accuracy over a baseline of .60 after tuning hyperparameters.

Notifications You must be signed in to change notification settings

Kruncha/Churn_prediction_case_study

 
 

Repository files navigation

Churn_prediction_case_study

See 'Churn Prediction Model.pdf' for details on our analysis.

About

My team analyzed rideshare data to predict what customers will churn. Best model, Gradient Boosting Classifier, performed at .79 accuracy over a baseline of .60 after tuning hyperparameters.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 93.3%
  • Python 6.7%