Keywords: Mobile, Price
The project focuses on leveraging deep learning techniques to classify mobile prices based on their features. By creating a robust model, it aims to enhance consumer decision-making by providing accurate price categories, contributing insights into market dynamics and pricing trends.
Aim
To Classify the Price of Mobile Using DL Techniques
Objective
Create a deep learning model to categorize mobile prices based on features. Utilize neural networks for accurate classification across price ranges. Provide consumers with a reliable tool for informed mobile purchasing decisions.
ANN Technique used
Jupyter, Google Collab
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