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README.md

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+# ECommerce Customer Churn Prediction
+
+## Overview
+
+This project focuses on developing a robust predictive model to accurately predict customer churn in subscription-based e-commerce platforms, utilising a diverse dataset of 5,630 customers. It examines various features, including customer and warehouse demographics, customer engagement metrics like HourSpendOnApp and NumberofDeviceRegistered, transaction histories such as PreferredPaymentMode and CouponUsed, complaints and satisfaction scores. Furthermore, the project aims to provide actionable insights for proactive retention strategies and decision-making by identifying and evaluating the key drivers of churn and retention. 
+
+### Source of Data
+
+The data for this analysis is obtained from [Kaggle](https://www.kaggle.com/datasets/ankitverma2010/ecommerce-customer-churn-analysis-and-prediction).
+
+
+# Installation and Usage
+
+
+### Installation
+
+1. Clone this repository:
+   ```bash
+   git clone https://github.com/Sajithedakatt/Customer_Churn_Prediction.git