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  1. 3 maj 2024 · The flight fare prediction method proposed in this paper establishes the potential and success of employing machine learning algorithms for forecasting airline ticket prices, providing a...

  2. 1 lip 2019 · The research work presented in this paper has explored several machine learning models to predict airfares based on multiple characteristics which enhances the flight price prediction...

  3. dataset and in this paper, we have used machine learning techniques and regression strategies for prediction of the price wherein the airline price ticket costs vary overtime. We have implemented flight price prediction for users by using decision tree and random forest algorithms.

  4. 1 wrz 2022 · In this paper, we use a Machine Learning Regression approach to predict flight fare by providing basic details of departure date and time, arrival time, source, destination, number of stops...

  5. This research paper presents a machine learning-based approach to predict airline ticket prices. We used historical data of airline ticket prices and other relevant features to train and evaluate several machine learning models.

  6. 25 lip 2023 · This paper proposes a machine learning approach for flight fare forecasting that utilizes various features such as departure time, arrival time, airline, route, and historical prices. The proposed model is trained using a dataset of historical flight prices and other relevant data.

  7. Various machine learning models have been implemented to accurately find the flight ticket prices. With the help of feature selection techniques, our proposed model is able to predict the airfare price with an adjusted R squared score of 0.936.

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