The project aims to predict whether a passenger referred by an existing customer will book a flight or not, based on various features such as seat comfort, cabin service, travel class,food beverage , entertainment service, etc. The prediction model is developed using classification techniques in machine learning.The use of machine learning techniques allows for the development of a model that can learn from historical passenger and booking data and make accurate predictions on new data. The model can be used by airlines to target marketing campaigns towards potential passengers who are likely to book a flight based on a referral from an existing customer.
The given data includes airline reviews from 2016 to 2019 for popular airlines around the world with multiple choice and free text questions. Data is scrapped in spring2019.The main objective is to predict whether passengers will refer the airline to their friends.