A web application that predicts smartphone price ranges using a machine learning model deployed on AWS SageMaker.
Supervised ML- Built a Multi-Class classification model to find the relation between features of a mobile phone(RAM, Internal Memory etc) and its selling price. Model will predict the price range indicating how high the price is.
Mobile Price Range Classification using Logistic Regression and XGBoost with SHAP Explainability - School of Architecture, Built Environment, Computing and Engineering, Birmingham City University
A machine learning project for classifying mobile phones into price ranges.
A web application that predicts smartphone price ranges using a machine learning model deployed on AWS SageMaker.
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