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Repository Details
This project is about helping buyers to make an informed purchase by predicting the price of used cars. Gradient Boosting Regressor turns out to be the best model with a Mean Squared Logarithmic Error (MSLE) of 0.033. Designed an interactive Web application for model deployment using the Flask framework and Hosted on AWS using Elastic Beanstalk service via Docker image.