Machine Learning-Based Laptop Price Prediction (KEY IJP************167)

• Rahul Jeswani

Abstract

This study aims to develop a forecast model for laptop costs using a number of factors, including CPU speed, memory, storage, screen size, brand, and other relevant components. The information for this study was gathered from several e-commerce websites and other relevant sources. By employing a range of statistical and machine learning approaches to discover the key factors that affect laptop costs, the study's goal is to build a prediction model for forecasting laptop pricing. The results of this study can assist customers and sellers in estimating a laptop's price based on features and other crucial factors.