At ever-increasing consumer Graphics Processing Unit (GPU) prices-with the majority from Nvidia-one might wonder whether price increases are well-justified by performance increases. In this research, recent machine learning techniques are applied to the study of historical pricing for GPUs using a dataset composed of Nvidia and AMD graphics cards. Regression models will be done along with clustering and time series forecasting to show if the price of Nvidia's GPUs has gone up significantly regarding its performance. We use machine learning algorithms to understand any pattern of pricing, predict future trends, and understand how well the cost is related to performance. This research represents, in fact, a practical application of machine learning in market analysis that would prove really priceless to consumers, industry analysts, and even policy analysts.
