Using Machine Learning to Predict Laptop Price

Title

Using Machine Learning to Predict Laptop Price

Date

2-14-2023

Faculty Mentor

Arup Ghosh, Mathematics, Computing, and Information Science

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Files

Submission Type

Paper

Location

9:00-9:10am | Houston Cole Library, 11th Floor

Description

Machine learning (ML) allows computers to learn from historical data and make decisions without being explicitly programmed. It can be used in speech recognition, image processing, recommender systems, natural language processing (NLP), healthcare, etc. In this presentation, I will discuss a machine learning model that we built to predict the price of a laptop given its specifications, as estimating an accurate price could be a challenge. A laptop price estimator can be particularly helpful for consumers, especially first-year college students, looking to purchase a new or used laptop, and for sellers looking to sell their used laptops to get an estimate of the fair market value of their device. We used the “Linear Regression model”, one of the most widely used ML algorithms, which takes given specifications as features and outputs the price as the label. The data used to build the model was downloaded from Kaggle, a data-sharing website. To make demonstration easy during my presentation, I have created a web application using the Python “Streamlit” framework and integrated the ML model into it, and finally, deployed it on Render, a cloud hosting platform.

Keywords

student research, computing

Rights

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Disciplines

Artificial Intelligence and Robotics

Using Machine Learning to Predict Laptop Price
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