Laptop Price Prediction with Machine Learning

Abstract

Machine Learning plays a very vital role in image detection, normal speech command, stock market prediction and in medical sector. Machine Learning algorithm helps us in security alerts and predicting the price of various models. Here, in this research different machine learning models are used for determining the price of laptops. Laptop market is a highly competitive market within the present scenario. It is because of technological changes laptops comes into the existence and due to this various new brands of laptops comes into the market offering different features at different price range. This study seeks to analyze the buying behavior of consumers towards laptops, like which factors they will consider while purchasing them. And utilizes machine learning algorithm as a research method that develop different models to predict the price of laptops. In this research data is collected by using a convenience sampling method. A well structured questionnaire was used to get information from the respondents, besides the secondary sources of information being referred to. Through the questionnaire it was found that which all factors are important to them. Questionnaire covered various factors that a consumer might look for while purchasing a laptop. Some of them are Operating System, Brand, Color , Processor , Brand and type of processor, graphic card, Battery Backup, RAM, ROM, Type of ROM, Clock Speed, Touch Screen, Screen Type, Screen Resolution, Sound Properties, Disk Drive, Warranty, Weight. Spreadsheets are used to record the responses of questionnaire. Also excel is used to store the supervised learning data. Tableau is used as a visualization tool on the supervised learning data to get insights from it. Afterwards different Machine Learning models on Decision Tree, Support Vector Machine, and Random Forest Algorithms on Google Colaboratory. This is done in order to know which method is best for predicting the price of laptops.