Predicting flight fare using ML
The Flight Fare Prediction dataset contains the information about the flight routes that different airlines provide and the fares on particular date.
The dataset used is the Airline Fare Prediction - https://www.kaggle.com/zwartfreak/airline-fare-prediction from Kaggle.
The target variable here is the flight fare given the specific date, source and destination among other attributes. Various airlines operate flights between the cities - Delhi, Mumbai, Kolkata, Chennai, Hyderabad, Cochin and Bangalore.
Target Variable: Ticket Price
The model used is Random Forest Regression. Random Forest Regression is a supervised learning algorithm that uses ensemble learning method for regression. Ensemble learning method is a technique that combines predictions from multiple machine learning algorithms to make a more accurate prediction than a single model.