Closed Varunshiyam closed 2 weeks ago
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| Name | Status | Preview | Comments | Updated (UTC) |
|---|---|---|---|---|
| ml-nexus | ✅ Ready (Inspect) | Visit Preview | 💬 Add feedback | Nov 5, 2024 6:26am |
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2 weeks ago 👋 Thank you for opening this pull request! We appreciate your contribution to improving this project. Your PR is under review, and we'll get back to you shortly. Don't forget to mention the issue you solved!.
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2 weeks ago 🎉🎉 Thank you for your contribution! Your PR #764 has been merged! 🎉🎉
Related Issues or bug
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.
Fixes: #762
Proposed Changes
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.