Mobile Price With The Demand of The Mobile Phone Features Prediction using KNN
The approach of this work is based on the data science algorithms. Our model is able to predict the mobile price with the demand of the mobile phone features. We used a relavent and filtered algorithmic rules that can analyse the mobile phone price with it’s installed mobile phone feature. The resulting model was deployed and used as a mobile phone price prediction tool. The aim of the deployed application is to inform the mobile buyers about the mobile price range in advance to avoid the losses of money and fraudness of mobile company.
Institutions
- University of Liberal Arts Bangladesh (BD)
- University of Salford (GB)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-09-28
- DOI
- https://doi.org/10.5281/zenodo.17220424
- Primary Topic
- Geochemistry and Geologic Mapping
- Type
- article
- Field-Weighted Citation Impact
- 0.00