Anyone who regularly travels through the airway wants to foresee the right time they buy a ticket to obtain the economic deal. Aircraft companies keep changing ticket costs for better outcomes of income. Aircraft companies may increment flight costs when the demand is expected to extend for generating more revenue. To minimize cost, information analysis for a particular air route has been collected including the characteristics like take-off time, entry time, and airways over a specific period. Qualities are organized from the collected information to apply the Machine Learning models. The below paper provides the machine learning method to obtain the costs according to the characteristics.

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