In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calculate customer LTV. I have also implemented the Random Forest model to predict if a customer is going to churn and deployed a model using the flask web app.
random-forest
hazard
flask-application
data-analysis
survival-analysis
partial-dependence-plot
explainable-ai
customer-churn-prediction
shap-values
customer-survival-analysis
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Updated
Sep 30, 2022 - Jupyter Notebook