Flight_fare-Prediction

It is a Flight_fare Prediction Web Application Using Machine learning,Python and flask Using Machine leaning i have created a Flight-fare prediction model in juypter I have choosen one year of data of flight booking from kaggle I have used Six different Algorithms like LinearRegreesion,RandomforestRegressor,DecisionTree,Gradient Boosting,K Neighbour and xgboost and the prediction is done on Xgboost beacuse xgboost has high accuarcy. The model also has PCA (Principle Component Analysis) I have used Flask for web application a The model is deployed on heroku website link (https://airfare-prediction-model.herokuapp.com/predict)