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Flight Price Prediction Using Machine Learning


Affiliations
1 Department of Information Technology, SCS, The Assam Kaziranga University, India
 

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.
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  • Flight Price Prediction Using Machine Learning

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Authors

Victor Sarmacharjee
Department of Information Technology, SCS, The Assam Kaziranga University, India
Himangshu Nath
Department of Information Technology, SCS, The Assam Kaziranga University, India
Ashim Buragohain
Department of Information Technology, SCS, The Assam Kaziranga University, India
Rajesh Kumar Gouda
Department of Information Technology, SCS, The Assam Kaziranga University, India
Dibya Jyoti Bora
Department of Information Technology, SCS, The Assam Kaziranga University, India

Abstract


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.

References