Customer Churn Prediction Using Gradient Boosting | Machine Learning Classification Project | Python
In this video, we build a complete Customer Churn Prediction System using Gradient Boosting Classifier in Python.
Customer churn prediction is one of the most important machine learning applications used by telecom companies, banks, insurance companies, SaaS businesses, and subscription platforms to identify customers who are likely to leave.
In this project, we perform data preprocessing, handle missing values, encode categorical variables, train a Gradient Boosting model, evaluate performance using Accuracy Score, Confusion Matrix, and Classification Report, analyze Feature Importance, and finally perform Real-Time Customer Churn Prediction.
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