Smartphone Price Prediction Using Machine Learning Technique…
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- DOI 10.59256/ijire.2023040233
- OpenAlex ID W4366990902
- Type Article
- Language EN
- Published 25 Apr 2023
- Pages 603–607
- Source International Journal of Innovative Rese…
- FWCI 0.95
- Added 27 Apr 2023
- Updated 29 Sep 2026
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Smartphone Price Prediction Using Machine Learning Techniques
Article 2023 EN
This research aimed to predict smart phone prices using two supervised machine learning algorithms: Decision Tree and Random Forest Regression. Data was collected from the Indian e-Commerce website Flip kart using Python libraries such as Beautiful Soup and Selenium, and was cleaned and pre-processed for analysis. The results showed that the Decision Tree algorithm had an R^2of 89.3%. The Random F…
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1 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Richard Honey Corresponding | — | — |
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