AlphaPeu commune
archd3sai/Customer-Survival-Analysis-and-Churn-Prediction
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.
- Propriétaire
- archd3sai (compte personnel)
- Étoiles
- Étoiles : 275
- Forks
- Forks : 84
- Langage
- Jupyter Notebook
- Licence
- MIT
- Création
- 2019
- Sujets
- customer-survival-analysisrandom-forestexplainable-aidata-analysisflask-applicationsurvival-analysisshap-valuespartial-dependence-plothazardcustomer-churn-prediction
- Rang
- Alpha (250 à 699 ★) Ce que veut dire ce rang
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