This study demonstrates how data-driven methods can be used to comprehend the dynamics of the cutthroat laptop market.We have created models that reveal the connections between important characteristics, like RAM, CPU type, brand, and screen resolution, and their effects on pricing by cleaning and preprocessing an unprocessed dataset of laptop prices and specifications.The findings of this study offer producers and consumers useful information.