CLASSIFICATION OF PRICE RANGES FOR MOBILE PHONES USING MACHINE LEARNING

Abstract

Mobile phones have become a crucial requirement in the modern day world. They have emerged as the most common and straightforward means of global communication and information access. Setting the appropriate pricing range for mobile phones is crucial. To determine pricing, all of their features must be considered. This study paper's major goal is to achieve mobile pricing. In this paper we have used different machine learning algorithms along with ensemble algrithms and made a study between Gradient Boosting and Artificial Neural Networks(ANN’s) to find which suits best for our data. We got an accuracy of 91.25% for MLP classifier. An interactive web sites employing flask is also designed to make customers easier to choose a price range.