ECommerce-Customer-Churn-Analysis-and-Prediction

This is my project for DSA March 2023 B1 batch Group 6 of Ict Academy Of Kerala in E commerce Domain

Dataset: https://www.kaggle.com/datasets/ankitverma2010/ecommerce-customer-churn-analysis-and-prediction

in notebook folder EDA,Pre Proceesing,Modelling ,Model Check jupiter notebooks given

database folder have database used for this project

Execution video is given

hosting code for template static and app.py given

model.py give the model choosen

Create a Random Forest model for Customer Churn Prediction and deployed using Flask.

rfmodel.pkl is the randomforest model

hosted Link : http://customerchurn.pythonanywhere.com/

sign up using username email and password then login using username and password to use our app