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<speak> Hello, welcome to the project on Flight Fare Prediction. <break strength="x-strong"/>In this project, we are going to build a model that predicts flight ticket prices.<break strength="x-strong"/> Guessing the flight prices can be very hard sometimes. <break strength="x-strong"/>Today we might see a price but when we check out the same flight, <break strength="strong"/>the price might be different after some time. <break strength="x-strong"/>We might have often heard traveler saying that the flight prices may be so predictable, <break strength="strong"/>they are fluctuating all the time, <break strength="strong"/>here we will be provided with different prices of flight tickets for various Airlines<break strength="strong"/> between March and June of 2019 <break strength="strong"/>and between the various cities,<break strength="strong"/> so we will use this data to determine flight prices based on different parameters. <break strength="x-strong"/>The aviation market is expected to grow significantly in the coming decades. <break strength="x-strong"/>By 2036 global air transport is forecast to support 97.8 million jobs, <break strength="strong"/>and contribute 5.7 trillion dollars to the global economy <break strength="strong"/>because nowadays everyone is traveling through flights.<break strength="x-strong"/> <break strength="x-strong"/>Suppose let's take an example if you want to travel from Bangalore to New Delhi,<break strength="strong"/> if you go by train it may take more than thirty hours, <break strength="strong"/> but if you travel by flight <break strength="strong"/>you will reach in one hour thirty minutes <break strength="strong"/>and the ticket is double than train price.<break strength="x-strong"/> <break strength="x-strong"/>So people find it comfortable to travel on flights even in India <break strength="strong"/>or to other countries. <break strength="x-strong"/>Due to the corona virus, even the aviation industries impacted. <break strength="x-strong"/>But soon it will recover and the industry will be profitable soon.<break strength="x-strong"/> <break strength="x-strong"/>So in this project, <break strength="strong"/>we are going to determine flight prices based on different parameters.<break strength="x-strong"/> We will consider parameters like Airline- type, <break strength="strong"/>so in India we have Air India, <break strength="strong"/>Indigo, <break strength="strong"/>and so many other airlines<break strength="strong"/> and we are going to consider the Date of Journey <break strength="strong"/>and the Source, <break strength="strong"/>Destination <break strength="strong"/>and Time of Travel like in the morning or evening and <break strength="strong"/>Duration of flight. <break strength="x-strong"/>So there are different features using which we will predict the flight price.<break strength="x-strong"/> Let's go to the jupyter notebook. <break strength="x-strong"/> </speak>