Manuscript Number : IJSRSET229228

A Survey On Price Prediction Model for Airbnb listing using Machine Learning

Authors(2) :-Prajapati Pradip , Prof. Monali Suthar

People who rent their homes through Airbnb find it hard to figure out how much they should charge for them. They have to figure out how many people they can put in each home. Other than that, customers have to figure out the price of a home or apartment based on what they know about that home or apartment and what it has to offer them. A price prediction model is used with machine learning algorithms to add value for both the customer and the person who owns it in this study. To figure out the right price, I'll look at different features of the rentals and the traits of the owner. To make better predictions, I will also look at the reviews of different customers. To do this, I will use a lot of different techniques, like linear regression, tree-based models and the SVM technique.

Authors and Affiliations

Prajapati Pradip
M.Tech Computer Engineering Department, Silver Oak College of Engineering and Technology-Ahmedabad, Gujarat, India
Prof. Monali Suthar
Assistant professor ,Computer Engineering Department , Silver Oak College Of Engineering And Technology, Ahmedabad, Gujarat, India

Machine Learning, LASSO Regression, MSE, Tunning, Prediction, Gradient Boosting Algorithm

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Publication Details

Published in : Volume 9 | Issue 2 | March-April 2022
Date of Publication : 2022-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 167-171
Manuscript Number : IJSRSET229228
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Prajapati Pradip , Prof. Monali Suthar, " A Survey On Price Prediction Model for Airbnb listing using Machine Learning , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 9, Issue 2, pp.167-171, March-April-2022. Available at doi : https://doi.org/10.32628/IJSRSET229228      Journal URL : https://res.ijsrset.com/IJSRSET229228

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