Laptop Price Prediction System Using Machine Learning

Authors

  • Arpit Sharma Student, Department of CSE JIMS Engineering Management Technical Campus Greater Noida, India
  • Arnav Kotia Student, Department of CSE JIMS Engineering Management Technical Campus Greater Noida, India
  • Piyush Pal Student, Department of CSE JIMS Engineering Management Technical Campus Greater Noida, India
  • Ishan Gupta Student, Department of CSE JIMS Engineering Management Technical Campus Greater Noida, India
  • Shashi Bhushan Asst Professor, Dept of CSE JIMS Engineering Management Technical Campus Greater Noida, India

Keywords:

Challenging, Prediction, algorithms, laptops, Machine Learning

Abstract

In recent times, the use of laptops has come a necessity for scholars, professionals, and businesses. With the increase in demand, the prices of laptops have been shifting constantly. This has made it challenging for users to decide when and where to buy a laptop at an affordable price. As a result, the development of machine literacy algorithms for predicting laptop prices has come pivotal. Machine learning (ML) is high quality in assisting in making decisions and predictions from the large volume of facts produced. This paper aims to explore the use of machine literacy models, for predicting laptop prices grounded on specifications handed by the users. The Prediction model is delivered with one- of-a-kind duos of features and several regarded computing device literacy models.

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Published

14-03-2024

How to Cite

Arpit Sharma, Arnav Kotia, Piyush Pal, Ishan Gupta, & Shashi Bhushan. (2024). Laptop Price Prediction System Using Machine Learning. Journal of Applied Optics, 334–348. Retrieved from https://appliedopticsjournal.net/index.php/JAO/article/view/127

Issue

International Conference 2024

Section

Conference Paper

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