Hello everyone, I developed a Dash application! Here:
Heroku: https://lnkd.in/dxQYSTA
GitHub: GitHub - tolgahancepel/telco-customer-churn
This application allows you to predict Telco Customer Churn and analyze the dataset which is published by IBM.
I look forward to your feedback. You can view all codes and modelling notebook on GitHub.
Thank you 
Really nice!!
What are some inputs that cause the model to predict retention / “not churn”? I entered some parameters that I thought would be relatively “safe” but it still predicted churn!
Thank you so much 
@chriddyp ,
XGBoost model can estimate feature importance, so we can interpret dominant features for prediction. Unfortunately SVM (if not linear) is black box.
For example: keep all input values and just increase TotalCharges to 240 and Tenure to 40.
Here is the XGBoost feature importance:
