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Bora, Dibya Jyoti
- Flight Price Prediction Using Machine Learning
Abstract Views :133 |
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Authors
Victor Sarmacharjee
1,
Himangshu Nath
1,
Ashim Buragohain
1,
Rajesh Kumar Gouda
1,
Dibya Jyoti Bora
1
Affiliations
1 Department of Information Technology, SCS, The Assam Kaziranga University, IN
1 Department of Information Technology, SCS, The Assam Kaziranga University, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 35, No SP (2023), Pagination: 97-106Abstract
Those who frequently travel will be better educated about the best offers and the best times to buy tickets. For financial reasons, a lot of airlines change their prices according to the seasons or the time of year. The price will increase as more people travel. The real idea behind our travel prediction system is to forecast flight expenses by comparing today's pricing to yesterday's. Using various machine learning techniques on a sizable dataset, we will build a model to forecast flight prices, and the effectiveness of the models will be compared.Keywords
Indian Airlines, Machine Learning, Exploratory Data Analysis, Prediction Model, Pricing Models, Model Training & Testing, Model Evaluation.Full Text
References
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