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Predict customer churn using machine learning. This project employs a RandomForestClassifier to analyze customer data and determine the likelihood of churn. Explore the Jupyter Notebook for insights into the data and model, and contribute to the project's development.
In this notebook, We will evaluate the five best known machine learning algorithms to determine which one is the best fit for this given telecom churn binary classification.