Using Machine Learning to Forecast Mobile Phone Prices

Abstract

People rely on their smartphones more and more every day. Technological improvements have made telephones indispensable in every facet of life, from personal to professional. You can use it for more than just making phone calls. It lets you access the internet and read your email even when you're not at your computer. When shopping for a mobile phone, it's important to think about its features. Finding the optimal method to use machine learning to predict the retail price of smartphones based on their specific features is the overarching goal of this study. People who use their phones often pay more attention when choosing features. People look at the price-performance ratio as a metric to compare mobile phones. Functions of a phone are considered performance metrics. The purpose of this study is to provide a prediction about the relative cost of various mobile phone functions. By enhancing features while limiting prices, this approach may be used in different marketing and commercial situations to help people make educated purchase choices.