Maqola

Machine Learning-based Price Prediction and Analysis of Laptop Specifications

Temurbek KuchkorovTashkent University of Information Technologies Named after Muhammad ibn Musa al-Khwarizmi,Department of Artificial Intelligence,Tashkent,UzbekistanIbrohimbek YusupovTashkent University of Information Technologies Named after Muhammad ibn Musa al-Khwarizmi,Department of Artificial Intelligence,Tashkent,UzbekistanBakhtiyor MakhkamovTashkent University of Information Technologies Named after Muhammad ibn Musa al-Khwarizmi,Department of Artificial Intelligence,Tashkent,UzbekistanKhakimjon ZaynidinovTashkent University of Information Technologies Named after Muhammad ibn Musa al-Khwarizmi,Department of Artificial Intelligence,Tashkent,UzbekistanDanish AtherTashkent University of Information Technologies Named after Muhammad ibn Musa al-Khwarizmi,Department of Artificial Intelligence,Tashkent,UzbekistanSonal PathakSchool of Computer Applications, Manav Rachna International Institute of Research and Studies (MRIIRS),Faridabad,Haryana,India

2024en

ABI

Annotatsiya

This paper explores the relationship between various laptop specifications and their prices using machine learning models. The dataset, obtained from Kaggle, includes attributes such as brand, screen size, operating system, RAM, and storage type. We apply data preprocessing, exploratory data analysis, and machine learning techniques to predict laptop prices in euros. The results show that specifications like storage type, RAM, and screen resolution have significant impacts on price prediction accuracy, achieving a high prediction accuracy of 91.8% using advanced models.

Mavzular

Stock Market Forecasting Methods Industrial Vision Systems and Defect Detection

Identifikatorlar

DOI: 10.1109/icisct64202.2024.10957051

Iqtiboslar va manbalar

2 ta iqtibos 4 ta foydalanilgan manba

Koʻrsatkichlar — AkademScholar · Tez orada