# archd3sai/Customer-Survival-Analysis-and-Churn-Prediction

<https://repo.masters-masters.com/en/repos/archd3sai/Customer-Survival-Analysis-and-Churn-Prediction>

[Home](https://repo.masters-masters.com/en) › [archd3sai](https://repo.masters-masters.com/en/owners/archd3sai) › [Customer-Survival-Analysis-and-Churn-Prediction](https://repo.masters-masters.com/en/repos/archd3sai/Customer-Survival-Analysis-and-Churn-Prediction)

archd3sai/Customer-Survival-Analysis-and-Churn-Prediction has 275 stars on GitHub. Its RepoMasters card: Alpha tier. In this project, I have utilized survival…

| Field | Value |
| --- | --- |
| Owner | [archd3sai](https://repo.masters-masters.com/en/owners/archd3sai) |
| Stars | 275 |
| Forks | 84 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2019 |
| Topics | customer-survival-analysis, random-forest, explainable-ai, data-analysis, flask-application, survival-analysis, shap-values, partial-dependence-plot, hazard, customer-churn-prediction |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [archd3sai/Customer-Survival-Analysis-and-Churn-Prediction](https://github.com/archd3sai/Customer-Survival-Analysis-and-Churn-Prediction) |

## Repository

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.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

## More repos by archd3sai

- [archd3sai/Portfolio · ★ 244 · Prototype](https://repo.masters-masters.com/en/repos/archd3sai/Portfolio)
- [archd3sai/Predictive-Maintenance-of-Aircraft-Engine · ★ 161 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/archd3sai/Predictive-Maintenance-of-Aircraft-Engine)
- [archd3sai/Instacart-Market-Basket-Analysis · ★ 109 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/archd3sai/Instacart-Market-Basket-Analysis)

## Nearby in Jupyter Notebook

- [atomic14/esp32-tv · ★ 275 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/atomic14/esp32-tv)
- [facebookresearch/generic-neuromotor-interface · ★ 275 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/facebookresearch/generic-neuromotor-interface)
- [facebookresearch/jepa-intuitive-physics · ★ 275 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/facebookresearch/jepa-intuitive-physics)
- [leongatys/DeepTextures · ★ 275 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/leongatys/DeepTextures)
- [royalosyin/Python-Practical-Application-on-Climate-Variability-Studies · ★ 275 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/royalosyin/Python-Practical-Application-on-Climate-Variability-Studies)
- [lawy623/LSTM\_Pose\_Machines · ★ 275 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/lawy623/LSTM_Pose_Machines)

---
Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.