📱 Customers are likely to leave a telecom service, enabling companies to take measures for retention and create accurate churn prediction models.
Predict customer churn using machine learning models to help businesses identify at-risk customers and reduce churn. This project includes data analysis, model building, and evaluation using algorithms like Logistic Regression, Random Forest, and Gradient Boosting.
Este repositorio es parte de un portafolio de proyectos para presentar habilidades en Machine Learning, especificamente en un problema que muchas empresas poseen que es la fuga de clientes. Para ello, se utiliza data disponible en Kaggle de Telco-Customer-Churn
Linear regression-Assignment on different datasets
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