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Is your feature request related to a problem? Please describe.
With the rapid development of mobile technology, understanding the factors that impact the price of mobile phones is valuable for both consumers and manufacturers. Traditional methods of price estimation can be time-consuming and may lack consistency. This project aims to build a machine learning model that accurately classifies mobile phones into different price categories based on their technical specifications, providing an efficient and data-driven solution for price prediction.
Describe the solution you'd like
This project uses machine learning classification models to predict mobile phone prices based on various features like RAM, battery life, and display size. By analyzing these attributes, the model classifies mobile phones into different price ranges, helping consumers and companies make informed decisions.
The text was updated successfully, but these errors were encountered:
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Is your feature request related to a problem? Please describe.
With the rapid development of mobile technology, understanding the factors that impact the price of mobile phones is valuable for both consumers and manufacturers. Traditional methods of price estimation can be time-consuming and may lack consistency. This project aims to build a machine learning model that accurately classifies mobile phones into different price categories based on their technical specifications, providing an efficient and data-driven solution for price prediction.
Describe the solution you'd like
This project uses machine learning classification models to predict mobile phone prices based on various features like RAM, battery life, and display size. By analyzing these attributes, the model classifies mobile phones into different price ranges, helping consumers and companies make informed decisions.
The text was updated successfully, but these errors were encountered: