📃: Customer Churn Prediction Model

[yashi-025]

🔴 Title : Customer Churn Prediction Model
🔴 Aim :
The primary aim of this project is to develop a predictive model that identifies customers who are likely to churn (stop using a service or product) based on historical data. By predicting churn, businesses can implement targeted strategies to retain valuable customers, ultimately increasing customer satisfaction and revenue.
🔴 Brief Explanation :
This customer churn prediction model utilizes machine learning techniques to analyze customer behavior and demographics, enabling the classification of customers into 'churn' and 'no churn' categories. By implementing algorithms like Logistic Regression, Decision Trees, and Random Forests, the model identifies key factors influencing churn, empowering businesses to make informed decisions for improving customer retention.

Screenshots 📷

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✅ To be Mentioned while taking the issue :

• Full name : Yashika Garg
• What is your participant role? (Mention the Open Source Program name. Eg. GSOC, GSSOC, SSOC, JWOC, etc.) WoB'24

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