From 7e48980e14f2d07fa8ed530ec6d29f0c73a81929 Mon Sep 17 00:00:00 2001 From: Tanuj Saxena <128210429+tanuj437@users.noreply.github.com> Date: Mon, 15 Jul 2024 12:48:07 +0530 Subject: [PATCH] Update README.md --- Health Insurance Cross Sell Prediction/Webapp/README.md | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/Health Insurance Cross Sell Prediction/Webapp/README.md b/Health Insurance Cross Sell Prediction/Webapp/README.md index be8512bf9..334207e15 100644 --- a/Health Insurance Cross Sell Prediction/Webapp/README.md +++ b/Health Insurance Cross Sell Prediction/Webapp/README.md @@ -1,3 +1,6 @@ + +https://github.com/user-attachments/assets/d0554627-f3f2-4f1f-a375-e3ba23c46db3 + # Health Insurance Cross Sell Prediction Web App ## Goal 🎯 The goal of this prediction web application is to accurately predict whether a customer will buy a vehicle insurance policy. By analyzing customer data, the app helps in organizing and prioritizing potential buyers, detecting trends, and ensuring targeted marketing efforts. It streamlines the process of understanding customer behavior and provides valuable insights for stakeholders. 📈🚗 @@ -8,6 +11,10 @@ The model used in this web app is a pre-trained LightGBM classifier, which has b ## Video Demonstration 🎥 +https://github.com/user-attachments/assets/d39b0cd7-9b31-49c9-939e-060409edc74b + + + ## How to Run the Web App #### Requirements Ensure you have the necessary libraries and dependencies installed. You can find the list of required packages in the requirements.txt file. @@ -29,4 +36,4 @@ streamlit run app.py ### Signature ✒️ Tanuj Saxena -[![LinkedIn](https://img.shields.io/badge/LinkedIn-%230077B5.svg?logo=linkedin&logoColor=white)](https://www.linkedin.com/in/tanuj-saxena-970271252/) \ No newline at end of file +[![LinkedIn](https://img.shields.io/badge/LinkedIn-%230077B5.svg?logo=linkedin&logoColor=white)](https://www.linkedin.com/in/tanuj-saxena-970271252/)