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This is an end-to-end ML project, which aims at developing a classification model for predicting if a customer for an ecommerce business will churn or not in the following month

License: GNU General Public License v3.0

Procfile 0.01% Python 0.19% HTML 0.35% Dockerfile 0.01% Jupyter Notebook 99.45%
classification customer-analytics customer-churn-prediction data-analysis data-cleaning data-visualization database decision-tree-classifier decision-trees deployment

e-commerce-customer-churn-prediction's Introduction

E-commerce-Customer-Churn-Prediction

##Overview

This is an end-to-end ML project, which aims at developing a classification model for predicting if a customer for an ecommerce business will churn or not in the following month

The classifier used for this project is DecisionTreeClassifier.

Deployed in Railway.app.

Link to the application : https://ecommerce-customer-churn.up.railway.app/


Dataset Information

This dataset contains information on the customers personal details, spending habits etc

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


App Interface

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Technologies Used

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