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This project demonstrates an end-to-end Machine Learning pipeline that predicts mobile phone price ranges using traditional ML models. The workflow includes data preprocessing, training a Random Forest Classifier on **AWS SageMaker**, deploying the model as an endpoint, and running live predictions.
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