Title: Customer Churn Prediction

[Stuti333]

Initiative (Required)

GSSoC 2024 Extd 🚀

Is your feature request related to a problem? Please describe.

A customer churn predictor is essential to proactively identify customers likely to leave, enabling businesses to take targeted retention actions before losing valuable revenue. It helps companies optimize their retention budget by focusing efforts on high-risk customers while providing insights into common churn patterns and triggers.

Describe the solution you'd like.

I would implement a solution comparing three algorithms: Random Forest, XGBoost , and Logistic Regression. The models would be trained on historical customer data evaluating them using metrics like AUC-ROC and precision-recall curves to optimize for early churn detection.

Add any other context or screenshots about the feature request here.

[github-actions[bot]]

@Stuti333

It's great having you contribute to this project

Thanks for opening this Issue 🙌 , Welcome to Project Guidance 💖 We will review everything and get back to you.
Make sure to give a star to this repo before making a fork! Thank you :)

[SakiraAli1115]

I am the mentor of this project. @Stuti333 Hello I appreciate your issue and thank you for your contribute!!! @Kushal997-das Kindly assign this issue!!!

[github-actions[bot]]

Hi @Stuti333 👋, your issue #1561 has been successfully closed ✅. Thank you for your valuable contribution! 🙌