AhmetFurkanDEMIR/Trendyol-Smartphone-Price-Prediction
Trendyol Smartphone Price Prediction
Implements a Flask-based web application with a separate REST API backend serving a scikit-learn linear regression model trained on Trendyol smartphone listings. Users input device specifications through an HTML form that communicates with the API to generate price predictions, enabling budget-based feature exploration. The architecture separates the web frontend from the prediction service, allowing independent deployment on AWS infrastructure with data preprocessing handled via pandas.
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Python
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Last pushed
Mar 11, 2022
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