Abstract
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.
Cite
CITATION STYLE
Surjuse, V., Lohakare, S., Barapatre, A., & Chapke, A. (2022). Laptop Price Prediction using Machine Learning. International Journal of Computer Science and Mobile Computing, 11(1), 164–168. https://doi.org/10.47760/ijcsmc.2022.v11i01.021
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