Laptop Price Prediction using Machine Learning Algorithms

Abstract

The laptop has grown to be one of the most essential and used gadgets in our day-to-day existence for different activities. We will be supplied with many specs and company names in the market, it will become difficult for laptop computer makers to sell their merchandise and for customers to pick out one. Machine learning (ML) is high quality in assisting in making decisions and predictions from the large volume of facts produced. We have additionally viewed ML strategies being used in recent developments in the Internet of Things (IoT) areas. Various studies supply solely a glimpse into predicting the price of the laptop with ML techniques as in this paper, we suggest a novel technique that targets identification process through tremendous elements using making use of desktop getting to know fashions resulting in improving the accuracy in the prediction of laptop price. The prediction model is delivered with one-of-a-kind combos of features and several regarded computing device learning models. We are the use of a one-of-a-kind laptop to gain knowledge of fashions like Decision trees, Multiple linear regression, KNN, and Random forest to test which desktop mastering model is more accurate in predicting the rate of the laptop.