Adusumilli Lekha Sri
, Ambati Sahiti , Andra BhagyaSri Teja , Arzoo Ahamed
Machine learning, laptop price, regression, Random forest.
This paper presents a laptop price prediction system by using the supervised machine learning technique. The research uses multiple linear regression as the machine learning prediction method which offered 81% prediction precision. Using multiple linear regression, there are multiple independent variables but one and only one dependent variable whose actual and predicted values are compared to find precision of results. This paper proposes a system where price is dependent variable which is predicted, and this price is derived from factors like Laptop’s model, RAM, ROM (HDD/SSD), GPU, CPU, IPS Display, and Touch Screen. Keywords— Multiple Linear regression, Laptop Price, Regression model, Machine Learning, Random forest , Random forest, SVM.
"Laptop price prediction", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.b191-b201, March-2023, Available :https://ijnrd.org/papers/IJNRD2303124.pdf
Volume 8
Issue 3,
March-2023
Pages : b191-b201
Paper Reg. ID: IJNRD_188606
Published Paper Id: IJNRD2303124
Downloads: 000118884
Research Area: Computer Science & Technology
Country: kakinada, Andhra pradesh, India
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave
